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Data Analytics Data Scientist, Cybersecurity at OpenAI

Senior data scientist establishes metrics and evaluation frameworks for AI agent security, measuring control effectiveness and detecting emerging risks across OpenAI's security products.

Senior Posted about 4 hours ago RemoteFirstJobs Product
What this role involves

About the Team

OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions.

As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down.

About the Role

We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents.

You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly?

You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements.

In This Role You Will

  • Define how we measure AI-agent security. Establish metrics and evaluation frameworks for security-control coverage, agent behavior, sensitive actions, access patterns, detection quality, and emerging risks.

  • Improve security controls without introducing unnecessary friction. Quantify the effectiveness and operational costs of safeguards, including false positives, blocked actions, escalations, approval delays, and recovery paths. Help teams make controls safer, more precise, and easier to use.

  • Build the data foundations for security decisions. Partner with engineering and data teams to improve instrumentation, connect fragmented telemetry, establish trusted datasets, and surface important coverage and data-quality gaps.

  • Strengthen detection and response. Identify meaningful signals of anomalous behavior, risky access, sensitive-data exposure, and other security-relevant activity. Evaluate whether interventions improve detection quality, response times, and real-world security outcomes.

  • Shape AI-powered cybersecurity products. Partner with product, engineering, and research teams to assess how effectively AI systems identify security issues, support developer and enterprise workflows, and create measurable customer value.

  • Develop evaluation systems for security findings. Define quality measures for findings, including accuracy, severity, actionability, duplication, resolution, and downstream impact. Connect model behavior and product changes to outcomes such as triage, remediation, and vulnerability reduction.

  • Understand the complete security workflow. Measure how users discover, investigate, validate, prioritize, and resolve security issues. Identify opportunities to improve activation, adoption, retention, and enterprise value across customer-facing cybersecurity products.

  • Design rigorous measurement and experimentation strategies. Evaluate new models, security controls, product features, and workflows through controlled experiments, staged rollouts, observational analyses, and other methods appropriate for high-stakes environments.

  • Translate analysis into security and product strategy. Identify the highest-value decisions, clarify tradeoffs, recommend where teams should invest, and communicate findings clearly to technical partners and senior leadership.

  • Help establish a new security data science capability. Build a focused roadmap, create durable operating rhythms across Data Science and Security, and help shape how this discipline grows over time.

You Might Thrive in This Role If You Have

  • 5+ years of experience in data science, applied research, analytics, or a related quantitative field, with a track record of owning ambiguous, high-impact problems.

  • Experience in cybersecurity, trust and safety, fraud or abuse prevention, privacy, platform integrity, or another domain involving adversarial behavior and difficult-to-measure risks.

  • Strong proficiency in SQL and Python, including experience investigating complex datasets, working through incomplete instrumentation, and building reproducible analytical workflows.

  • Experience defining meaningful metrics and evaluation frameworks when ground truth is limited, outcomes are delayed, or important risks cannot be observed directly.

  • Strong judgment in experimentation, causal inference, observational analysis, and the practical limitations of different measurement approaches.

  • The ability to partner effectively with security engineers, product managers, software engineers, researchers, data engineers, and senior leaders.

  • A demonstrated ability to translate technical analysis into concrete improvements in products, systems, controls, or organizational priorities.

  • Comfort operating independently, defining a roadmap, and bringing structure to a domain without established processes or industry standards.

You Could Be an Especially Great Fit If You Have

  • Experience with detection engineering, threat research, security operations, insider risk, identity and access management, or privacy-preserving security analytics.

  • Familiarity with AI agents, large language models, model evaluations, automated code review, or AI-powered cybersecurity products.

  • Experience evaluating security findings, vulnerability detection, remediation workflows, or developer-facing security tools.

  • Experience balancing security effectiveness against user experience, including false positives, approval flows, operational burden, and recovery behavior.

  • Experience building automated monitoring, anomaly detection, production-oriented data assets, or systems that connect model outputs to real-world outcomes.

  • A track record of building new cross-functional measurement programs or establishing analytical capabilities from the ground up.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Data Analytics People Analytics Principal at CloudFactory

Leads complex people analytics initiatives including data modeling, visualization, and workforce planning to inform talent and organizational strategy decisions.

Lead Posted about 11 hours ago RemoteFirstJobs Product
What this role involves

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

  • Mission-Driven: We focus on creating economic and social impact.
  • People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
  • Innovative: We embrace change and find better ways to do things together.
  • Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!

Role Summary

As a People Analytics Principal, you will independently lead complex people analytics work, from data modelling and visualization to workforce planning and data science, providing insights that directly influence talent and organizational strategy. You will engage senior Talent and business stakeholders, translating data into clear recommendations that improve talent outcomes and workforce decisions. This is a great opportunity to deepen your people analytics expertise within a mission-driven, fast-scaling organization.

Responsibilities:

Business intelligence

  • Support the business intelligence needs of specific management, governance processes, or operational areas.
  • Investigate the need for business intelligence reporting and analysis where there is some complexity and ambiguity.
  • Apply non-standard business intelligence tools and techniques proficiently to provide insights and aid decision-making.
  • Independently select, acquire, and integrate data for analysis, ensuring data quality and relevance.

Data modelling and design

  • Utilize standard data modelling and design techniques to address moderate complexity requirements.
  • Establish, modify, and maintain data structures and associated components.
  • Communicate details of data structures and associated components effectively to stakeholders.

Data visualization

  • Independently design and create various types of data visuals using visualization products.
  • Select appropriate visualization techniques from a range of options for diverse data sets.
  • Engage extensively with target users to prototype and refine specified visualizations.

Measurement and reporting

  • Contribute to the identification and prioritization of measures, scales, and targets for projects, functions, or teams.
  • Support the development of measurement methods and assist in specifying base and derived measures to meet agreed information needs.
  • Collaborate with teams to design reports and reporting formats, ensuring clarity and relevance.

Data science

  • Apply established data science techniques to solve problems and analyze datasets, utilizing programming skills effectively.
  • Participate in evaluating the outcomes and performance of data science models, providing input on improvements.
  • Support the training and enhancement of models and the data they utilize, under supervision.

Workforce planning

  • Gather, maintain, and analyze workforce capability data to support workforce planning initiatives.
  • Conduct detailed gap analysis to identify discrepancies between existing workforce capabilities and future business needs.

Stakeholder engagement and decision support

  • Engage with Talent and business teams to present data insights and ensure alignment of analytics with stakeholder needs.
  • Independently apply data insights to recommend improvements to Talent processes and workforce management strategies.
  • Demonstrate an understanding of how people analytics supports broader business objectives, contributing to talent initiatives that drive performance.

Must-have skills (required)

  • Talent metrics and KPIs: able to monitor and report on a broad set of Talent KPIs, offering insights and recommendations to improve talent outcomes.
  • Technical proficiency in data tools: proficient in advanced data tools and platforms, such as Power BI or Tableau, using them to generate deeper insights and automate reporting processes.
  • Research skills: able to conduct research using established methods and procedures, formulate hypotheses, and make informed interpretations of findings.
  • Analytical skills: able to analyze data to identify trends, correlations, and outliers, applying statistical methods to solve moderately complex problems.
  • User research: able to independently conduct user research activities under guidance, collecting and analyzing data using established methodologies.
  • Decision-making: uses substantial discretion in identifying and responding to complex issues, escalating when appropriate.
  • Planning: able to plan, schedule, and monitor work to meet objectives, processes, time, and quality targets.

Academic and professional requirements

  • Bachelor’s degree in People Analytics, Data Science, Statistics, HR, or a related field, or equivalent practical experience.
  • 5–7 years of experience in people analytics, HR data analysis, or a related analytical role.

Nice-to-have skills (preferred)

  • Experience with HRIS or workforce planning systems.

  • Exposure to data science techniques and model evaluation.

  • Experience presenting insights to senior stakeholders.

  • Great Mission and Culture

  • Meaningful Work

  • Market competitive salary

  • Quarterly variable compensation

  • Hybrid Working Model

  • Comprehensive medical cover

  • Group life insurance

  • Personal development and growth opportunities

At CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you’re looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey!

Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work—we can’t wait to meet you!

Read the full description
Data Analytics Senior Analyst, GTM Business Operations – Public Sector at Samsara

Analyzes GTM data and business operations to drive public sector revenue growth through strategic insights and cross-functional collaboration with sales leaders.

Senior Remote Posted about 12 hours ago RemoteFirstJobs Product
What this role involves

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the Role

The GTM Business Operations team is looking for a curious, driven, and high-impact Senior Analyst to join us in support of Samsara’s fastest growing business in the Public Sector.

Our team’s mandate is to drive Public Sector revenue growth through strategic analytics, insights, and initiatives across the go-to-market (GTM) organization. We are a highly collaborative team that partners closely with sales leaders and cross-functional partners to hit ambitious growth targets, scale the organization sustainably, and tackle GTM challenges head-on.

In this role, you will report directly to the Business Operations & Strategy Lead for the Public Sector business and serve as a critical thought partner and analytical engine for the business — helping to shape how Samsara wins in public sector markets.

This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You Should Apply If

  • You want to impact the industries that run our world: Your efforts will have a real impact on our communities– helping kids get to school on-time and safely, keeping roads cleared after storms, and ensuring public servants return home safely.
  • You’re motivated by untapped opportunity: You’re energized by building and pursuing new ventures that don’t have a pre-set playbook. You know how to use data, frameworks, and good judgment to cut through the noise and drive decisions.
  • You’re excited about AI as a force multiplier: You don’t just use AI tools - you think carefully about where and how they change the way analytical and operational work gets done, and you want to be at the front of that shift
  • You are the architect of your own career: You take initiative and love learning. If you put in the work, this role won’t be your last at Samsara. We have built a culture that encourages rapid career development and opportunities to experiment and master your craft in a high impact environment.
  • You want to be with the best: At Samsara, we win together, celebrate together and support each other. Youwill be surrounded by a high-calibre team that will encourage you to do your best.

In This Role, You Will

  • Partner with the Business Operations and Strategy lead for Public Sector leadership to develop and refine go-to-market strategy across government and public sector segments (Federal, SLED, and adjacent verticals)
  • Assess market trends (e.g., procurement policy, budget cycles, competitive dynamics) to identify market opportunities, prioritize focus areas, and drive initiatives to help the business deliver on growth ambitions
  • Build and maintain analytical models that assess and diagnose performance across teams, territories, segments, and products
  • Identify, evaluate, and implement AI-enabled workflows and automation opportunities to increase the team’s analytical throughput and scale GTM activations
  • Share insights and recommendations in team business reviews, executive briefings, and planning cycles with data-driven insights and well-structured materials
  • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new markets

Minimum Requirements for the Role

  • 3–5+ years of experience in analytical roles (e.g., Consulting, Business Operations, Sales Operations, Strategy, or GTM Analytics)
  • Strong analytical and logical reasoning skills, with the ability to independently structure a problem, structure analyses, and communicate findings clearly to non-technical stakeholders
  • Demonstrated fluency with data tools — including Excel/Google Sheets, SQL/Databricks, and/or a BI or visualization platform (e.g., Tableau, Looker, Mode)
  • Working familiarity with AI tools (e.g., Claude, ChatGPT, Copilot) and an interest in building or evaluating AI-assisted workflows
  • Kind and collaborative orientation who is energized by working with a lot of different types of people from many teams (sense of humor is a big plus)
  • Highly organized with exceptional attention to detail and sense of ownership
  • Highly communicative and able to move fast in a remote working environment
  • Comfortable with ambiguity and energized by the challenge of operating in a high-growth company and sector
  • Fully fluent in English

An Ideal Candidate Also Has

  • Familiarity with Public Sector sales dynamics, including procurement cycles, contract vehicles, and compliance considerations
  • A track record of publishing AI products, workflows, or automations that unlocked new ways of working with superior insights, capabilities, or efficiency
  • Experience building strong relationships and collaborating with cross-functional partners
  • High intellectual curiosity and honesty: we love to debate ideas, and losing a debate to a good argument is just as exciting as winning one

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below.

Annual Base Salary

$91,630—$138,600 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

Read the full description
Data Analytics Senior Analyst, GTM Business Operations – Public Sector at Samsara

Senior analyst drives public sector revenue growth through strategic analytics, data insights, and GTM initiatives in support of sales and cross-functional teams.

Senior Remote Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the Role

The GTM Business Operations team is looking for a curious, driven, and high-impact Senior Analyst to join us in support of Samsara’s fastest growing business in the Public Sector.

Our team’s mandate is to drive Public Sector revenue growth through strategic analytics, insights, and initiatives across the go-to-market (GTM) organization. We are a highly collaborative team that partners closely with sales leaders and cross-functional partners to hit ambitious growth targets, scale the organization sustainably, and tackle GTM challenges head-on.

In this role, you will report directly to the Business Operations & Strategy Lead for the Public Sector business and serve as a critical thought partner and analytical engine for the business — helping to shape how Samsara wins in public sector markets.

This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You Should Apply If

  • You want to impact the industries that run our world: Your efforts will have a real impact on our communities– helping kids get to school on-time and safely, keeping roads cleared after storms, and ensuring public servants return home safely.
  • You’re motivated by untapped opportunity: You’re energized by building and pursuing new ventures that don’t have a pre-set playbook. You know how to use data, frameworks, and good judgment to cut through the noise and drive decisions.
  • You’re excited about AI as a force multiplier: You don’t just use AI tools - you think carefully about where and how they change the way analytical and operational work gets done, and you want to be at the front of that shift
  • You are the architect of your own career: You take initiative and love learning. If you put in the work, this role won’t be your last at Samsara. We have built a culture that encourages rapid career development and opportunities to experiment and master your craft in a high impact environment.
  • You want to be with the best: At Samsara, we win together, celebrate together and support each other. Youwill be surrounded by a high-calibre team that will encourage you to do your best.

In This Role, You Will

  • Partner with the Business Operations and Strategy lead for Public Sector leadership to develop and refine go-to-market strategy across government and public sector segments (Federal, SLED, and adjacent verticals)
  • Assess market trends (e.g., procurement policy, budget cycles, competitive dynamics) to identify market opportunities, prioritize focus areas, and drive initiatives to help the business deliver on growth ambitions
  • Build and maintain analytical models that assess and diagnose performance across teams, territories, segments, and products
  • Identify, evaluate, and implement AI-enabled workflows and automation opportunities to increase the team’s analytical throughput and scale GTM activations
  • Share insights and recommendations in team business reviews, executive briefings, and planning cycles with data-driven insights and well-structured materials
  • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new markets

Minimum Requirements for the Role

  • 3–5+ years of experience in analytical roles (e.g., Consulting, Business Operations, Sales Operations, Strategy, or GTM Analytics)
  • Strong analytical and logical reasoning skills, with the ability to independently structure a problem, structure analyses, and communicate findings clearly to non-technical stakeholders
  • Demonstrated fluency with data tools — including Excel/Google Sheets, SQL/Databricks, and/or a BI or visualization platform (e.g., Tableau, Looker, Mode)
  • Working familiarity with AI tools (e.g., Claude, ChatGPT, Copilot) and an interest in building or evaluating AI-assisted workflows
  • Kind and collaborative orientation who is energized by working with a lot of different types of people from many teams (sense of humor is a big plus)
  • Highly organized with exceptional attention to detail and sense of ownership
  • Highly communicative and able to move fast in a remote working environment
  • Comfortable with ambiguity and energized by the challenge of operating in a high-growth company and sector
  • Fully fluent in English

An Ideal Candidate Also Has

  • Familiarity with Public Sector sales dynamics, including procurement cycles, contract vehicles, and compliance considerations
  • A track record of publishing AI products, workflows, or automations that unlocked new ways of working with superior insights, capabilities, or efficiency
  • Experience building strong relationships and collaborating with cross-functional partners
  • High intellectual curiosity and honesty: we love to debate ideas, and losing a debate to a good argument is just as exciting as winning one

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below.

Annual Base Salary

$91,630—$138,600 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

Read the full description
Data Analytics Analista de People Analytics II

Analyzes HR and people data to provide insights on workforce metrics, talent management, and organizational trends.

Mid Posted about 14 hours ago Himalayas
What this role involves
Um dos maiores grupos de beleza do mundo, o Grupo Boticário é uma empresa brasileira presente em mais de 40 países.
Read the full description
Data Analytics Director, Real-World Evidence Data Platform

Directs development and implementation of real-world evidence data platforms that generate high-quality, timely strategic insights.

Lead Remote Posted about 14 hours ago Himalayas
What this role involves
Job Title: Director, Real-World Evidence Data Platform Job Location: Remote Position (USA), Remote, US Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job ID REQ-10084861 Aug 14, 2026 USA Available in: English Summary This role will be part of the Real-World Evidence team and will support the development, implementation, and operationalization of scalable real-world data platforms that enable high-quality, timely, and strategically relevant evidence generation.
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Data Analytics Data Analyst, Value-Based Care Analytics

Analyzes value-based care data to deliver clinical insights and reporting for healthcare providers using an AI-powered platform.

Posted about 19 hours ago Jobicy AI
What this role involves
Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and...
Read the full description
Data Analytics Data Analyst, Clinical Data Effectiveness

Analyzes clinical data to measure and improve the effectiveness of an AI-powered physician enablement platform.

Posted about 20 hours ago Jobicy AI
What this role involves
Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and...
Read the full description
Data Analytics Data Analyst, Value-Based Care Analytics

Analyzes value-based care data to generate clinical insights and support physician decision-making within an AI-powered healthcare platform.

Posted about 20 hours ago Jobicy AI
What this role involves
Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and...
Read the full description
Data Analytics Head of Fund Analytics & Automation — Credit Fund at Xsolla

Designs and operates the credit fund's data and automation stack, combining SQL/Python engineering with portfolio analytics and underwriting decisions.

Senior Onsite Posted 1 day ago RemoteFirstJobs Product
What this role involves

ABOUT YOU

We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund’s entire data and automation stack end to end — and then own it as the fund goes live.

The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.

Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.

If you’re passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!

ABOUT US

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

For more information, visit xsolla.com.

Responsibilities

First 6 months — priorities in order

- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.

Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.

Phase 1: Build (through first close)

Deal pipeline management

- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.

- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.

Scoring and underwriting data layer

- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.

- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.

- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.

Fundraising / LP pipeline

- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.

- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.

Investor and borrower dashboards

- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.

- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.

Reliability, cost, and security of the stack

- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.

- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.

- Documented runbooks and handover-ready documentation as part of “done” — the stack must be operable by someone other than its author.

Phase 2: Operate (post-close)

- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.

- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.

Client and investor facing

This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.

Qualifications and Skills

Required

- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).

- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.

- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.

- Workflow orchestration experience (n8n, Airflow, or comparable).

- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.

- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.

- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.

- Strong written and spoken English; comfortable presenting to senior external audiences.

Preferred

- Direct exposure to private credit, lending, or fund operations.

- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).

- Experience with embeddings / semantic search and multi-model AI setups.

- Web development ability (React / TypeScript or similar) for internal tools and dashboards.

- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).

Benefits

We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Equal Employment Opportunity Statement

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration

For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:

  • Criminal history check
  • Employment verification
  • Education verification
  • Credit history check

Relevance to Job Responsibilities

The background check is relevant to this position because of the following role responsibilities:

  • Handling sensitive financial information and supporting fund analytics, financial models, and deal data
  • Accessing confidential company data
  • Ensuring compliance with regulatory requirements

Rights Under the Fair Chance Act

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Data Analytics Senior Data Scientist at SecurityScorecard

Builds and deploys machine learning models for cybersecurity risk scoring, performs data analysis, and collaborates with product and engineering teams to integrate models into production systems.

Senior Posted 1 day ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

  • Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
  • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
  • Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
  • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
  • Contribute to code reviews, design discussions, and data science best practices.
  • Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

  • Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
  • 5+ years of experience applying data science and machine learning to real-world challenges.
  • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
  • Experience working with cloud-based data pipelines (AWS, GCP, or similar).
  • Solid understanding of ML algorithms, evaluation metrics, and model deployment.
  • Effective communicator and team player with a passion for solving hard problems.
  • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
  • Prior exposure and interest in LLMs is a plus.
  • Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $100,000 USD - $125,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Data Analytics Senior Data Scientist at SecurityScorecard

Develops and deploys machine learning models for risk scoring and threat intelligence, performing data analysis and collaborating with cross-functional teams to enhance the cybersecurity platform.

Senior Posted 1 day ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

  • Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
  • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
  • Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
  • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
  • Contribute to code reviews, design discussions, and data science best practices.
  • Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

  • Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
  • 5+ years of experience applying data science and machine learning to real-world challenges.
  • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
  • Experience working with cloud-based data pipelines (AWS, GCP, or similar).
  • Solid understanding of ML algorithms, evaluation metrics, and model deployment.
  • Effective communicator and team player with a passion for solving hard problems.
  • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
  • Prior exposure and interest in LLMs is a plus.
  • Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $80,000 USD - $100,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Data Analytics Senior Data Scientist at SecurityScorecard

Builds and deploys machine learning models for cybersecurity risk scoring, performs data analysis on complex datasets, and collaborates with product and engineering teams to integrate models into production systems.

Senior Posted 1 day ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

  • Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
  • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
  • Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
  • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
  • Contribute to code reviews, design discussions, and data science best practices.
  • Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

  • Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
  • 5+ years of experience applying data science and machine learning to real-world challenges.
  • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
  • Experience working with cloud-based data pipelines (AWS, GCP, or similar).
  • Solid understanding of ML algorithms, evaluation metrics, and model deployment.
  • Effective communicator and team player with a passion for solving hard problems.
  • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
  • Prior exposure and interest in LLMs is a plus.
  • Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $150,000 - $175,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

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Data Analytics SAP Data Analyst

Analyzes SAP and business data to identify quality issues, trends, and improvement opportunities.

Posted 1 day ago Himalayas
What this role involves
• Analyse SAP and related business data to identify data quality issues, trends and improvement opportunities.
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Data Analytics Eligibility Staff Auditor at Analytica

Audits Medicaid/CHIP eligibility determinations for regulatory compliance, analyzes documentation and data patterns, and prepares audit reports for federal oversight.

Mid Remote Posted 3 days ago RemoteFirstJobs Product
What this role involves

Analytica is seeking a Medicaid Eligibility Auditor to support the State Medicaid Program Integrity Audit (SMPIA) initiative, a key federal oversight program focused on strengthening the integrity and accountability of Medicaid and CHIP across the United States . The ideal candidate will excel in a collaborative, remote team environment and demonstrate strong analytical, compliance, and audit capabilities related to federal entitlement programs.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for three consecutive years. We support U.S. government clients in health, civilian, and national security missions to build better solutions that impact Americans’ day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid healthcare, training and development funds, and a 401k match.

Responsibilities include (but are not limited to):

  • Conduct detailed reviews of Medicaid and CHIP beneficiary eligibility determinations for compliance with federal and state regulations.

  • Evaluate eligibility decisions related to applications, redeterminations, post-Public Health Emergency (PHE) unwinding, and subsequent policy changes.

  • Assess state Medicaid eligibility policies, procedures, and workflows to ensure adherence to established guidelines.

  • Identify, document, and communicate potential vulnerabilities, risks, and areas of non-compliance within state Medicaid programs.

  • Gather and analyze state-provided documentation, including financial records, identity verification documents, and eligibility timelines.

  • Utilize data analytics tools to identify patterns, trends, and risk indicators requiring deeper audit review.

  • Prepare comprehensive audit reports summarizing findings, recommendations, and corrective action plans for submission to CMS/CPI and CMCS.

  • Develop clear, concise supporting documentation to substantiate audit findings and conclusions.

  • Collaborate with state Medicaid agencies to collect documentation and clarify procedural questions.

  • Participate in team meetings to ensure alignment and consistency in review approaches.

  • Conduct research to remain current on federal and state Medicaid eligibility regulations and evolving policy requirements.

  • Communicate regulatory updates and provide subject matter guidance to team members.

  • Assist in enhancing analytical tools, templates, and review protocols.

  • Contribute to continuous improvement of audit processes and program integrity methodologies.

  • Participate in training sessions to strengthen team capacity and maintain audit preparedness.

  • Provide guidance and support to junior team members or reviewers as needed.

  • Ensure all reviews align with established protocols, deadlines, and quality standards.

  • Verify accuracy, completeness, and clarity of documentation and findings prior to submission.

  • Maintain high productivity and organization in a fully remote work environment.

Basic Qualifications:

  • Bachelor’s degree in public health, business administration, public administration, accounting, or a related field. Master’s degree preferred.

  • Candidates with an associate’s degree may be considered if they have at least 10 years of highly relevant Medicaid eligibility and auditing experience.

  • Minimum 3 years of experience with federal entitlement programs such as Medicaid or CHIP ( 1 year is acceptable with a master’s degree).

  • Proven experience conducting compliance assessments, program reviews, or audits of federal or state programs.

  • Proficiency with Microsoft Office applications and experience using analytical tools for data evaluation.

  • Ability to develop clear technical reports and presentations.

  • Strong understanding of Medicaid terminology, regulations, eligibility frameworks, and policy requirements.

  • Familiarity with risk assessment techniques and program integrity principles.

  • Excellent prioritization, organizational, and time-management abilities.

  • Strong written and verbal communication skills, including the ability to collaborate with CMS, state agencies, and internal teams.

  • Ability to work independently and make sound decisions within established processes.

  • Ability to adapt effectively to a remote work environment.

  • U.S. citizenship and the ability to obtain Public Trust Clearance

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans.

We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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Data Analytics Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto) at Capco

Senior Business Analyst manages client testing, training, data integration, and reconciliation for a SaaS corporate actions and income processing platform.

Senior Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto)

The Role

Capco is seeking a Security Engineering Developer to design, develop, and enhance enterprise authentication capabilities on a Unified Authentication Platform. The role will focus on integrating modern Identity and Access Management (IAM) solutions such as Ping Identity (or equivalent), implementing passwordless authentication, MFA, token services, and secure API integrations to deliver scalable, secure, and seamless authentication experiences.

What You’ll Do

Capco is seeking a tenacious & proactive Corporate Actions Business Analyst to join our growing team that works closely with clients to implement strategic SaaS Corporate Actions & Income Processing application and its associated platform components across the Americas and in Europe. Do you have a strong Asset Servicing background and a proven record of collaborating effectively with clients & multiple teams to deliver outstanding results?

The Corporate Actions BA will be responsible for:

• User Testing Management & Reporting- working with clients to triage issues and to accurately track, report and expedite all phases of testing, challenging clients on change vs defect and ensuring development activity is focused on the essential issues for the priority milestones. Working with clients to have clean and accurate data on test execution progress and issue tirage & delivery.

• Training- quickly absorbing our industry leading APIs and product functionality to enable you to run client training sessions which includes the preparation of material, plans for delivery, and hands-on product demonstrations & training.

• Data Integration / Configuration Definition- working with our clients to define upstream and downstream data integration mapping, and suitable product configurations to support the client’s business.

• Migration/Conversion - supporting the Implementation Manager in the definition of the conversion strategy and the execution runbook. Assisting on mock conversions and final go-live, ensuring any issues from the mocks are reported and tracked to completion in good time for subsequent mock runs.

• Production Compare - participating in all phases of the reconciliation work to compare legacy output to BR’s solution for the same inputs using BDC (BR Data Control). Prioritising & driving improvements to match rates via new rule definitions and daily reporting both internally and to clients.

• Production Readiness - supporting the Implementation Manager by completing checklist activities and collaborating with internal and client stakeholders to ensure projects are successfully implemented on time and transition successfully into BAU.

• Collaboration- working closely with internal teams on delivery of conversions activities, and providing mentoring/guidance to junior members of the team.

What We’re Looking For

• 3-5 yrs experience as a conversions/implementation consultant, working on SaaS project delivery to Wealth or Capital Markets organisations.

• Asset Servicing platforms (either in-house or vendor solutions) in a Wealth Management, Investment Banking, or other financial environment.

• Client facing, and able to build good working relationships with clients whilst being strong enough to defend BR’s position.

• Experience of large scale projects and solid understanding of the full project lifecycle and Governance.

• Excellent attention to detail to enable accurate reporting.

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions
  • Work in a collaborative, flat, and entrepreneurial consulting culture
  • Access continuous learning, training, and industry certifications
  • Be part of a team shaping the future of digital financial services
  • Help shape the future of digital transformation across FS & Energy.

Benefits

  • Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
  • Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
  • Virtual Health Care – Company-paid program available to all employees and their dependents/partners
  • Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
  • Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment
  • New Parent Gift – A company-sponsored gift to celebrate the arrival of a new child
  • Wellness Support – Fitness reimbursement benefit to promote health and well-being
  • Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-hybrid

Pay Transparency

The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.

Canada Pay Transparency

$118,000—$135,000 CAD

Read the full description
Data Analytics Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto) at Capco

Senior Business Analyst manages user testing, client training, data integration, and production reconciliation for a SaaS corporate actions platform.

Senior Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto)

The Role

Capco is seeking a Security Engineering Developer to design, develop, and enhance enterprise authentication capabilities on a Unified Authentication Platform. The role will focus on integrating modern Identity and Access Management (IAM) solutions such as Ping Identity (or equivalent), implementing passwordless authentication, MFA, token services, and secure API integrations to deliver scalable, secure, and seamless authentication experiences.

What You’ll Do

Capco is seeking a tenacious & proactive Corporate Actions Business Analyst to join our growing team that works closely with clients to implement strategic SaaS Corporate Actions & Income Processing application and its associated platform components across the Americas and in Europe. Do you have a strong Asset Servicing background and a proven record of collaborating effectively with clients & multiple teams to deliver outstanding results?

The Corporate Actions BA will be responsible for:

• User Testing Management & Reporting- working with clients to triage issues and to accurately track, report and expedite all phases of testing, challenging clients on change vs defect and ensuring development activity is focused on the essential issues for the priority milestones. Working with clients to have clean and accurate data on test execution progress and issue tirage & delivery.

• Training- quickly absorbing our industry leading APIs and product functionality to enable you to run client training sessions which includes the preparation of material, plans for delivery, and hands-on product demonstrations & training.

• Data Integration / Configuration Definition- working with our clients to define upstream and downstream data integration mapping, and suitable product configurations to support the client’s business.

• Migration/Conversion - supporting the Implementation Manager in the definition of the conversion strategy and the execution runbook. Assisting on mock conversions and final go-live, ensuring any issues from the mocks are reported and tracked to completion in good time for subsequent mock runs.

• Production Compare - participating in all phases of the reconciliation work to compare legacy output to BR’s solution for the same inputs using BDC (BR Data Control). Prioritising & driving improvements to match rates via new rule definitions and daily reporting both internally and to clients.

• Production Readiness - supporting the Implementation Manager by completing checklist activities and collaborating with internal and client stakeholders to ensure projects are successfully implemented on time and transition successfully into BAU.

• Collaboration- working closely with internal teams on delivery of conversions activities, and providing mentoring/guidance to junior members of the team.

What We’re Looking For

• 3-5 yrs experience as a conversions/implementation consultant, working on SaaS project delivery to Wealth or Capital Markets organisations.

• Asset Servicing platforms (either in-house or vendor solutions) in a Wealth Management, Investment Banking, or other financial environment.

• Client facing, and able to build good working relationships with clients whilst being strong enough to defend BR’s position.

• Experience of large scale projects and solid understanding of the full project lifecycle and Governance.

• Excellent attention to detail to enable accurate reporting.

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions
  • Work in a collaborative, flat, and entrepreneurial consulting culture
  • Access continuous learning, training, and industry certifications
  • Be part of a team shaping the future of digital financial services
  • Help shape the future of digital transformation across FS & Energy.

Benefits

  • Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
  • Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
  • Virtual Health Care – Company-paid program available to all employees and their dependents/partners
  • Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
  • Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment
  • New Parent Gift – A company-sponsored gift to celebrate the arrival of a new child
  • Wellness Support – Fitness reimbursement benefit to promote health and well-being
  • Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-hybrid

Pay Transparency

The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.

Canada Pay Transparency

$118,000—$135,000 CAD

Read the full description
Data Analytics Analytics Consultant (AA, CJA) at Blue Acorn iCi

Advises enterprise clients on digital analytics strategy using Adobe Analytics, GA4, and MarTech tools to drive business outcomes and digital transformation.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

Position Overview:

Blue Acorn iCi is seeking a skilled Analytics Consultant who has a broad range of experience in the Adobe Suite (i.e. Adobe Analytics, Adobe Target) and Google Analytics (GA4). This key strategy position will be responsible for realizing digital channel strategy for our customers, uncover unique circumstances, provide guidance and prioritization of initiatives, and drive value as a trusted advisor to our current customer base and increase the customer experience.

This role will be for a business-minded and data-driven consultant who can fuel our ability to provide data analysis, insight, and recommendations to our enterprise-level clients through implementation, configuration, and enablement of digital analytics and other Adobe solutions.

Preferred Experience:

  • Deep Adobe Experience Cloud experience with heavy emphasis on Adobe Analytics, Adobe Target, CDP and Audience Manager
  • Extensive experience with Google Analytics (GA4)
  • Broad MarTech stack experience (Augmented Analytics, Digital Experience Analytics, Audience Intelligence Platforms, etc.)
  • Knowledge of modern Analytics best practices and trends
  • Experience running workshops to elicit requirements
  • Data analysis experience
  • Business consulting with an emphasis in the digital channel
  • Demonstrate ability to be a leader within a collaborative team environment
  • Pre-Sales experience supporting sales strategy evaluating the customer digital channel objectives
  • Comfortable creating resonating/boardroom ready presentations for executive (including client) leadership
  • Articulate and logically communicate with technical and non-technical audiences
  • Navigate digital marketing concepts and conversations
  • Capable of building and maintaining strong relationships with a diverse set of leadership
  • Enterprise account experience

Functions and Responsibilities:

  • Enterprise client and partner leadership (above the project and program level) including Steering Committee representation
  • Responsible for identifying KPI’s, success factors and growing the business.
  • Accountable for discovering, sourcing and analyzing customer digital channel visions (how it would connect back to their experience within “Analytics” systems
  • Works with product teams to shape the strategy and capabilities for key digital consulting engagements, supporting the evolution of the product and delivery roadmap
  • Lead and co-deliver strategy consulting engagements (i.e. digital transformation, customer journey, digital marketing, etc.)
  • Establishes cross-functional operation.  Builds support and alignment across a wide range of stakeholders, creates a strong network of relationships among peers, partners, decision makers and stakeholders
  • Anticipate problems and recommend innovative solutions. Attentive to client and project team needs
  • Advocate digital marketing education for the organization, promoting new technologies, digital marketing tactics and continually merge with Adobe Experience Cloud solutions

The base salary range for this position is $90,000 – $150,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.

About Blue Acorn iCi

Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results.

Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us.

Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement.

Why Join Us?

Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital.

Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves.

If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place.

***For US based roles, candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future. Infosys Nova Holdings, LLC does not provide immigration or visa sponsorship for this position (including H4 EAD, H‑1B, OPT, CPT, TN, O‑1, E‑3, or J‑1 visas).***

Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more!

Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice.

Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: careers@blueacornici.com.

California applicants: Please click here for CCPA disclosures.

Read the full description
Data Analytics Senior Business Systems Analyst – Marketing Technology at Blue Acorn iCi

Senior analyst translates business requirements into technical specifications for enterprise marketing systems, bridging product strategy and engineering delivery.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

Position Overview

We are seeking a Senior Business Systems Analyst – Marketing Technology to support enterprise marketing systems and engineering delivery across a complex, multi-platform ecosystem. This role operates as a senior individual contributor, bridging business processes, product strategy, and technical execution.

You will partner closely with Product Management, Engineering, and business stakeholders to translate business objectives into implementation-ready requirements, ensuring alignment between functional needs, platform capabilities, and delivery outcomes.

This position is ideal for a technically strong analyst—often an engineer-turned-analyst—who thrives in enterprise environments and can drive clarity, structure, and execution across ambiguous and cross-functional initiatives.

Key Responsibilities

Business Analysis & Requirements Management

  • Partner with Product Management and business stakeholders to understand business goals, process needs, and functional requirements across the marketing ecosystem.
  • Translate business requirements into clear functional requirements, user stories, process flows, acceptance criteria, and other artifacts that engineering teams can build against.
  • Analyze requirements for completeness, feasibility, downstream impacts, and alignment with existing platform capabilities and architecture standards.
  • Document decisions, assumptions, dependencies, and requirement changes clearly to support delivery quality and long-term maintainability.

Solution Design & Delivery Support

  • Support solution discovery and solution design for cross-system initiatives spanning CRM, marketing automation, integrations, and related data flows.
  • Work closely with architects and engineers to clarify system behavior, define dependencies, and resolve functional and technical ambiguities during design and delivery.
  • Support platform configuration definition and ensure that delivered solutions align with intended business outcomes.

Cross-Functional Collaboration & Execution

  • Contribute to backlog refinement and release planning in partnership with Product Management and engineering teams.
  • Facilitate working sessions with cross-functional teams including Product, Engineering, QA, and business stakeholders.
  • Act as a strong senior analyst within the team by improving requirement quality, bringing structure to ambiguous asks, and helping drive consistent execution.

Required Skills & Experience

Enterprise Marketing Technology Expertise

  • Strong experience supporting enterprise marketing and CRM ecosystems, including hands-on work with platforms such as Dynamics 365, Salesforce, and Marketo.
  • Familiarity with integrations, data flows, lead management, and intake processes across marketing systems.

Technical & Analytical Capabilities

  • Strong technical aptitude, including understanding of integrations, data flows, dependencies, and solution tradeoffs.
  • Ability to create implementation-ready documentation such as user stories, process maps, functional designs, and acceptance criteria.
  • Demonstrated ability to bridge business context and technical implementation details with minimal supervision.

Program Delivery Experience

  • 8+ years of experience as a Business Systems Analyst, Business Analyst, Solution Analyst, or similar techno-functional role in a large enterprise environment.
  • Experience working directly with engineering teams, architects, and product managers in an Agile delivery model.
  • Strong communication and stakeholder-management skills, including the ability to ask the right questions and challenge unclear requirements constructively.

Preferred Qualifications

  • Experience in B2B marketing processes such as lead management, routing, lifecycle management, and marketing-to-CRM alignment.
  • Experience supporting platform transformation or migration programs, including transition from legacy systems to target-state platforms.
  • Familiarity with Workfront or similar intake and work-management platforms.
  • Exposure to Adobe Experience Platform (AEP), customer data platform concepts, or adjacent customer-data capabilities.
  • Prior experience in engineering, development, QA, or another technically grounded role before moving into analysis.
  • Bachelor’s degree in Computer Science, Information Systems, Business, or a related field, or equivalent practical experience.

The base salary range for this position is $130,000 – $180,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.

About Blue Acorn iCi

Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results.

Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us.

Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement.

Why Join Us?

Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital.

Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves.

If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place.

***For US based roles, candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future. Infosys Nova Holdings, LLC does not provide immigration or visa sponsorship for this position (including H4 EAD, H‑1B, OPT, CPT, TN, O‑1, E‑3, or J‑1 visas).***

Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more!

Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice.

Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: careers@blueacornici.com.

California applicants: Please click here for CCPA disclosures.

Read the full description
Data Analytics Senior Data Scientist - Payments (Inference) at Airbnb

Leads quantitative measurement and causal inference efforts for payments fraud mitigation, developing ML models and statistical frameworks to inform payment strategy decisions.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

You will join the Payments Data Science organization, which sits at the intersection of Trust and Payments and powers the systems that move money safely and efficiently across Airbnb’s global marketplace. The team spans payment optimization for guests and hosts, fraud and risk mitigation, complex measurement, and regulatory compliance. We partner directly with Payments product and engineering leadership, Finance, and Trust to ensure every transaction is fast, safe, and compliant at global scale. Our work directly shapes decisions made by senior leaders, including Payments executive leadership, and requires a rigorous, evidence-based approach to every recommendation we make. Our Data Science team enables this mission by providing reliable measurement frameworks to deliver robust data insights, build and enable state-of-the-art data products/models, and provide actionable and reliable business guidance.

The Difference You Will Make:

We are looking for a passionate data scientist to lead quantitative measurement efforts and bring novel scientific approaches to drive decision making across our platform’s payment experience. This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our platform. This role will have a particular focus on payments fraud mitigation and loss optimization, with the goal of making our platform safer for our community.

Our Data Scientists have a deep understanding of causal framework development, statistical analysis, machine learning model development and evaluation strategies, and the complications of running experiment/quasi-experimental methods in a two-sided marketplace. They have keen business sense and are able to develop novel solutions to fraud and risk problems that don’t have an established playbook and utilize their findings to communicate across a wide range of partners to drive our data & product roadmaps. They are not only the trusted data expert on their team, but also a storyteller.

Examples of projects you may work on include, development of novel metrics and frameworks that can efficiently measure outcomes (often balancing competing tradeoffs), generating deep root cause investigations and long term impact measurements, and building/evaluating ML and agentic models to optimize guest, host, and business outcomes.

A Typical Day:

  • Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.
  • AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior. Support evaluation and optimization of agentic and LLM-based systems.
  • Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies.
  • Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact.
  • Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights.

Your Expertise:

  • 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 3+ years of experience with a Phd degree.
  • Strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end ML development.
  • Skilled in statistical programming (Python or R) and database usage (SQL)
  • Demonstrated track record of owning a business or technical domain end-to-end at a prior company: setting your own roadmap, being the accountable expert others escalate to, and driving a problem to resolution.
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels
  • Ability to work independently, set your own roadmap, and drive cross-functional alignment
  • Payments Fraud/Risk Domain expertise is a strong plus.
  • Familiarity with evaluating agentic or LLM-based systems (e.g., decision-quality measurement, human-in-the-loop calibration) is a plus.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We’ll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$179,000—$210,000 USD

Read the full description