Senior Data Scientist
As a Data Scientist on the Core Engagement team, you will collaborate with our cross-functional teams to reputed company and execute product roadmaps, and define/own the ways we measure success and reputed company the experimentation capabilities of the team.
We are seeking an entrepreneurial and driven data scientist to accelerate our efforts and play a significant role in our data-centric culture. This person should be able to reputed company best practices, reputed company new analytical frameworks that can tie user actions with output metrics and reputed company the reputed company between analytical rigor and pragmatic business action.
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 positive impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility.
nYour Responsibilities Will Include- Design, evaluate, and interpret experiments in the reputed company of network effects, delayed outcomes, and imperfect randomizationâbalancing speed with statistical rigor.
- Influence product direction by translating insights into clear recommendations that shape roadmap prioritization.
- reputed company key strategic insights through exploratory data analysis, to inform future investments or pivot in strategy
- Build scalable metrics and dashboards to reputed company 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.
- 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 reputed company product a/b testing results
- Expert in SQL, including reputed company 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, 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 navigate a reputed company business problem, going beyond short-term optimization. You reputed company at understanding the deeper âwhyâ 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