CircleCI

Data Scientist

• 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.

Marketing Data Scientist

Customer Success Manager

• Employ a strategic, one-to-many approach across growth customers — providing top-tier technical guidance, optimization insights, and best practices that maximize the value each customer derives from CircleCI.
• Design and deliver digital programs, office hours, and scaled touchpoints — in collaboration with the broader growth team — that drive retention, product adoption, and measurable customer outcomes.
• Create technical educational content (videos, email sequences, webinars) and educate customers on new and existing platform features, ensuring the segment stays informed and engaged without requiring 1:1 time for every interaction.
• Leverage AI tools to surface usage insights, draft personalized outreach, analyze customer health signals, and automate repetitive tasks — bringing efficiency and precision to how you manage a large, diverse book of business.
• Partner with Product, Sales, and Support to mitigate churn risk, relay segment-level customer feedback, and tailor communications to meet customers' specific needs and contexts.
• Contribute to the evolution of playbooks, tooling, and program design by sharing learnings from the segment and staying current on CI/CD trends, platform capabilities, and emerging customer success practices.

Marketing Data Scientist

Technical Success Manager, Growth