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 qualified LinkedIn profile.

Preferred Background Product Data Scientist, Growth Data Scientist, Decision Scientist, Experimentation Data Scientist, Product Analytics Data Scientist, or similar.

📌 Data Scientist (Product) | Remote (India)
🏢 Crossing Hurdles
📍 India