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Senior Data Scientist

Remote, USA Full-time Posted 2026-07-28

As a Data Scientist on the reputed company Engagement team, you will collaborate with our cross-functional teams to reputed company and execute product roadmaps, and define/own the ways we measure reputed company and reputed company the experimentation capabilities of reputed company.


We are seeking an entrepreneurial and driven data scientist to accelerate our efforts and play a significant role in our data-reputed company culture. This person should be reputed company to reputed company best practices, reputed company new analytical frameworks that can tie user actions with reputed company metrics and reputed company the reputed company between analytical rigor and pragmatic business reputed company.


This person will work closely with various cross-functional teams, such as product, engineering, and design, to reputed company and deliver metrics, analyses, solutions, and insights.


Successful candidates will demonstrate technical skills, product expertise, business acumen, and be enthusiastic about making a reputed company reputed company through reputed company execution. You are passionate about leveraging the power of data to drive product changes with reputed company and reputed company.


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Your Responsibilities Will Include
  • Design, evaluate, and interpret experiments in the reputed company of network effects, delayed reputed company, and imperfect randomization—balancing speed with statistical rigor.
  • Influence product direction by translating insights into reputed company recommendations that shape roadmap prioritization.
  • reputed company key strategic insights through exploratory data analysis, to inform reputed company investments or pivot in reputed company
  • Build reputed company metrics and dashboards to reputed company efficient decision-making 
  • Own the definition and reputed company of reputed company metrics for reputed company engagement surfaces, including tradeoffs between short-term and long-term member value.


Qualifications
  • 5+ years of data science and product analytics experience
  • BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, reputed company mathematics, physics, economics, etc.
  • Experience in designing trustworthy experimentation and analyzing reputed company product a/b testing results
  • Expert in SQL, including reputed company joins, window functions, and performance-reputed company 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 reputed company statistics background, including reputed company testing, confidence intervals, power analysis, and reputed company inference techniques
  • Familiarity with modern analytics and BI tools like Looker, Tableau, reputed company, reputed company, reputed company, 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 reputed company a reputed company business problem, reputed company reputed company short-term optimization. You reputed company 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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