Senior Data Scientist

What you'll do

• Map the user funnel and build metrics, cohorts, and dashboards to track movement across free, trial, and paid tiers.
• Build propensity models for conversion, upgrade, churn, and expansion to power real-time targeting and in-product nudges.
• Identify and size growth bets and work with Product teams to ship new features.
• Define north-star, driver, and guardrail metrics in partnership with key stakeholders.
• Design and execute multivariate experiments across onboarding, paywalls, in-product prompts, and pricing.
• Translate ambiguous business questions into structured analyses and actionable recommendations.

What we're looking for

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 5+ years of experience in data science, product analytics, or a similar quantitative role.
• Proficiency in SQL and Python (or R) for data manipulation, analysis, and modeling.
• Hands-on experience designing and analyzing A/B tests and interpreting statistical significance.
• Experience building segmentation and predictive models (propensity, churn, LTV) and deploying them to drive product or marketing actions.
• Experience building funnels, cohorts, and retention analyses.
• Ability to translate ambiguous business questions into structured analyses and clear recommendations.
• Fluency with AI-assisted and agentic workflows.
• Master's or PhD in a field involving quantitative analysis (preferred).
• Background in consumer product analytics, especially in creative tools, SaaS, or subscription businesses (preferred).
• Experience modeling customer satisfaction and/or NPS (preferred).
• Familiarity with modern data stacks, product analytics tools, and experimentation platforms (preferred).