Raya
A private community for global citizens.
Senior Data Scientist
Location
United States
Posted
47 days ago
Salary
Not specified
Bachelor Degree5 yrs expEnglishNumpyPandasPythonScikit LearnSQLTableau
Job Description
• Design, evaluate, and interpret experiments in the presence of network effects, delayed outcomes, and imperfect randomization—balancing speed with statistical rigor.
• Influence product direction by translating insights into clear recommendations that shape roadmap prioritization.
• Develop key strategic insights through exploratory data analysis, to inform future investments or pivot in strategy
• Build scalable metrics and dashboards to empower efficient decision-making
• Own the definition and evolution of success metrics for core engagement surfaces, including tradeoffs between short-term and long-term member value.
Job Requirements
- 5+ years of data science and product analytics experience
- BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc.
- Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
- Expert in SQL, including complex joins, window functions, and performance-aware querying on large datasets
- Expert in Python or R programming, including common scientific computing packages and data science tools such as NumPy, Pandas, and Scikit-learn
- Strong applied statistics background, including hypothesis testing, confidence intervals, power analysis, and causal inference techniques
- Familiarity with modern analytics and BI tools like Looker, Tableau, Omni, Hex, Sigma, Eppo, StatSig, etc is a plus
- A strong understanding of two-sided marketplace dynamics
- Experience in navigating eco-system effects is a plus
- Strong in proactive verbal and written communication and presentation skills, ability to convey rigorous statistical concepts to non-experts
- Strong strategic thinking to navigate a complex business problem, going beyond short-term optimization. You excel at understanding the deeper “why” behind data insights
- Eagerness to explore and apply AI and emerging technologies (e.g., LLMs, automation, intelligent tooling) to accelerate analysis, experimentation, and decision-making
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