Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization
Own A/B testing strategy and causal measurement for product features and partner performance
Partner with engineers to productionize models and integrate them into live systems
Build analyses, dashboards, and tools that inform product strategy and customer outcomes
Define metrics and success criteria for new initiatives
Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations
Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack
Raise the bar for statistical rigor and experimentation across the company

5+ years applying statistics or machine learning in production environments
Deep understanding of experimentation, causal inference, and Bayesian or frequentist methods
3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
Strong Python skills
Strong SQL proficiency and proven track record working with large scale datasets
Experience with AWS, distributed systems, and high volume data pipelines
Experience deploying and maintaining models in production
Solid foundation in linear algebra, optimization, and model evaluation
Experience with AI/ML operations & tooling: understanding of API rate limiting, inference workload patterns, accelerator management

Senior Data Scientist

Key skills