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CircleCI

CircleCI delivers a continuous integration platform that allows developers to build at-scale projects more quickly and efficiently. A San Francisco, California-

Marketing Data Scientist

Location

United States

Posted

35 days ago

Salary

$145K - $196K / year

Seniority

Senior

Bachelor Degree4 yrs expEnglishETLPandasPythonScikit-LearnSQL

Job Description

Marketing Data Scientist

CircleCI

• 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.

Job Requirements

  • 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.

Benefits

  • Reasonable accommodation for individuals with disabilities

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