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Data Scientist – Inference, Community Support
Job Description:
- Design rigorous experiments & quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions.
- Build causal ML models to optimize Make Goods budget allocation and maximize business impact.
- Conduct causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment effects.
- Deliver strategic insights on quality-cost tradeoffs, empowering leadership to deliver the best possible support experience to our community.
- Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance and uncover opportunities for improvement.
- Build, evaluate and iterate on causal ML models that power high-stakes decisions, applying best practices across the full model lifecycle from feature engineering to production deployment.
- Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience and operational cost), and propose strategies to improve overall effectiveness.
- Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
- Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.
- Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes.
Requirements:
- 2+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields.
- Strong knowledge of causal inference and experimental design.
- Strong knowledge of Bayesian modeling and statistical inference.
- Hands-on experience building and deploying statistical or ML models in production environments.
- Skilled in statistical programming (Python/R) and database usage (SQL).
- Proven ability to communicate clearly and effectively to audiences of varying technical levels.
- Ability to translate complex findings into compelling narratives that drive impact.
- Excellent project management, communication and collaboration skills.
Benefits:
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.