Data Scientist (Product)

Role: Product / Growth Data Scientist

Engagement: Remote | Contract / Freelance

Experience: 4+ years hands-on experience; 5+ years preferred

Education: Master’s degree or higher

About the Role

We are looking for experienced Product or Growth Data Scientists with strong hands-on expertise in experimentation, product analytics, statistical modeling, and decision-making.

The ideal candidate should regularly work with SQL, Python, statistics, A/B testing, product metrics, retention, LTV, and causal/uplift analysis.

Key Responsibilities

• Design, run, and analyze A/B tests and controlled experiments.
• Define and monitor product KPIs, north-star metrics, funnels, and behavioral metrics.
• Analyze user acquisition, engagement, conversion, churn, and retention.
• Build statistical models for retention, lifetime value (LTV), uplift, and user behavior.
• Perform hypothesis testing, regression analysis, segmentation, and causal analysis.
• Translate complex data into actionable product and growth recommendations.
• Work extensively with large datasets using SQL and Python.

Required Qualifications

• 4+ years of hands-on Data Science experience; 5+ years preferred.
• Master’s degree or higher in Statistics, Mathematics, Economics, Data Science, Computer Science, Operations Research, or a related quantitative field.
• Strong daily hands-on experience with SQL, Python, and statistics.
• Strong practical experience with A/B testing and experimentation.
• Experience defining and analyzing product or growth metrics.
• Hands-on experience with retention, churn, LTV, uplift, or causal modeling.
• Strong statistical fundamentals including hypothesis testing, regression, confidence intervals, and experimental design.
• Active and credible professional LinkedIn profile.
• Preferred Background Product Data Scientist, Growth Data Scientist, Decision Scientist, Experimentation Data Scientist, Product Analytics Data Scientist, or similar.