Data Scientist (Analytics)

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver recommendations directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy. RESPONSIBILITIES Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience. Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs. Ingest and transform raw data using tools like dbt, Airbyte, and Databricks. Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities. Present findings and recommendations to technical and nontechnical audiences, including company leaders. REQUIREMENTS 5+ years of experience in analytics, BI, or data engineering roles Strong SQL skills with the ability to write complex queries for data transformation and analysis Experience designing medallion data arch