Data Scientist (Growth) | Remote

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.

Work arrangement
Yes