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兼职 Data Scientist (Growth) | Remote 工作, 薪水, Crossing Hurdles 公司招聘中 - Ricebowl

Data Scientist (Growth) | Remote

Crossing Hurdles

Malaysia

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工作地点

  • Malaysia

职位描述

岗位职责

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.

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