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Marketing Data Scientist

Join CircleCI as a Marketing Data Scientist to leverage data science in driving marketing strategies and customer growth.

Location
San Francisco, United States
Compensation
$145k–$196k/yr
Level
mid
Type
full time · Remote OK

AI in the day-to-day

Use AI tools to move faster, explore unfamiliar methods, and surface modeling options.

Requirements

Experience
4–6 years
Education
Bachelor's degree

Joblaze summary

The Marketing Data Scientist at CircleCI plays a crucial role in transforming complex marketing data into actionable insights, focusing on building models and frameworks that drive customer growth. Proficiency in Python and analytical SQL is essential, along with a solid background in predictive modeling and marketing measurement techniques. This position is ideal for candidates with 4 to 6 years of experience in data science within high-growth environments, particularly those familiar with SaaS and B2B metrics. CircleCI, a leading CI/CD platform, offers a dynamic setting where data-driven decision-making is key to enhancing marketing strategies.

Joblaze insights

Quick facts

Is the Marketing Data Scientist role remote?
Yes — CircleCI lists this as a fully remote position.
What's the salary range?
CircleCI lists $145,000–$196,000 for this role.
How much experience is required?
4–6 years of relevant experience for this Marketing Data Scientist role.
What's the tech stack?
Joblaze extracted these technologies from the posting: A/B Testing, Machine Learning, MVT, statistical analysis, Google Ads, SQL.
What seniority level is this role?
CircleCI targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Marketing Data Scientist role at CircleCI.

From the original posting

About the Role:

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.

What You'll Bring:

  • 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.

Bonus/Nice to Have:

  • 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.
United States Base Pay Range
$145,000$196,000 USD

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.

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