The Marketing Data Scientist is a rigorous, intellectually curious problem solver embedded directly within the Marketing function for the GTM team. They own the science behind how we understand, attract, and grow our customers — building the models, measurement frameworks, and experiments that turn complex marketing data into decisions that move the business forward. They do not just report on what happened — they design the studies that tell us why and build the models that tell us what comes next.
What You'll Do:- Frame ambiguous marketing problems as well-scoped modeling and measurement challenges and own them end to end.
- Develop and own attribution models that accurately allocate marketing investment across channels and touchpoints.
- Build propensity, lead scoring, and churn models to prioritize where GTM teams should focus.
- Model the relationship between product engagement signals and downstream commercial outcomes — expansion, retention, and conversion.
- Design, execute, and interpret experiments (A/B, MVT, geo-based) with appropriate power analysis and statistical validity.
- Build and apply segmentation models and cohort analyses to uncover behavioral patterns, lifecycle trends, and funnel opportunities.
- Analyze organic search and AEO signals as modeling inputs to inform content strategy and improve discoverability.
- Partner with analytics engineers to productionize models and move insights from notebook to pipeline.
- Use AI tools to move faster, explore unfamiliar methods, and surface modeling options — while developing the judgment to know when AI-generated outputs are wrong or incomplete.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field; Master's or PhD is a bonus.
- 4 to 6 years applying data science in a product, growth, or marketing context at a high-growth company.
- Strong command of Python (pandas, scikit-learn, statsmodels, or similar) and analytical SQL.
- Demonstrated experience building predictive models that influenced real business decisions.
- Hands-on experience with marketing measurement — attribution, media mix modeling, incrementality testing, or similar.
- Solid statistical foundation — forecasting, regression, classification, causal inference, and experiment design.
- Experience with GA4, Google Ads, and digital marketing measurement platforms.
- Strong understanding of reverse ETL processes and operationalizing model outputs.
- Strong storytelling skills — able to translate statistical complexity into clear, actionable business language for both technical and non-technical audiences.
- Experience with MLOps practices and moving models from experimentation to production.
- Comfort working across the full stack — dbt, Hex, Snowflake, Looker, Mode, Segment, and similar tools.
- Familiarity with SaaS, developer tools, or B2B product-led growth metrics.
- Hands-on experience with AI tools like Claude, Cursor, or similar LLM-powered assistants to accelerate analytical workflows.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
About CircleCI
CircleCI is the world’s largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster.
Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold
Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.
CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Skills Required
- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or related quantitative field
- Master's or PhD in a quantitative field
- 4 to 6 years applying data science in product, growth, or marketing contexts at a high-growth company
- Strong command of Python (pandas, scikit-learn, statsmodels, or similar)
- Analytical SQL skills
- Demonstrated experience building predictive models that influenced business decisions
- Hands-on experience with marketing measurement (attribution, media mix modeling, incrementality testing, or similar)
- Solid statistical foundation (forecasting, regression, classification, causal inference, experiment design)
- Experience with GA4, Google Ads, and digital marketing measurement platforms
- Understanding of reverse ETL processes and operationalizing model outputs
- Strong storytelling and communication skills to translate statistical findings for technical and non-technical audiences
- Experience with MLOps practices and moving models to production
- Familiarity with dbt, Hex, Snowflake, Looker, Mode, Segment, or similar tools
- Familiarity with SaaS, developer tools, or B2B product-led growth metrics
- Hands-on experience with AI/LLM tools like Claude, Cursor, or similar assistants
CircleCI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CircleCI and has not been reviewed or approved by CircleCI.
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Fair & Transparent Compensation — Pay is considered broadly competitive across engineering and certain sales roles, aligning with market ranges for similar tech companies. Feedback suggests role-appropriate bands and ranges in postings help many view cash compensation as fair.
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Healthcare Strength — Benefits materials emphasize coverage up to 100% for medical, dental, and vision along with holistic mental-health support. This structure signals strong employer-paid healthcare that many candidates value.
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Leave & Time Off Breadth — Generous PTO, paid holidays, and flexible/hybrid work are highlighted, with rest and recharge time emphasized. Wellness days and inclusive leave policies further broaden the time-off offering.
CircleCI Insights
What We Do
CircleCI is the world’s largest shared continuous integration and continuous delivery (CI/CD) platform, and the central hub where code moves from idea to delivery. As one of the most-used DevOps tools that processes more than 1 million builds a day, CircleCI has unique access to data on how engineering teams work, and how their code runs
Why Work With Us
Our culture is rooted in our core values: Be ambitious, resilient, empathetic, inclusive and transparent. All of our people-related processes – how we hire, promote and provide recognition are based on these values.
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