We're hiring a Product Data Scientist to establish how product decisions at Baseten are made with data. You'll work directly with Product and Engineering, alongside GTM to determine measurement, strategy, experimentation and implementation
This is a foundational, hands-on role. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape product strategy. You'll work from clickstream and product events through inference telemetry and observability data, helping Baseten make faster decisions about reliability, performance, adoption and developer experience
Partner directly with Product and Engineering: frame the questions that matter, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions
Define how product success is measured: establish metrics across activation, adoption, retention, expansion, reliability and user experience
Support experimentation and launches: design measurement plans, analyze A/B experiments and controlled rollouts, and translate results into product decisions
Diagnose reliability and scaling behavior: join customer signals with request, replica, deployment, and cluster telemetry to find patterns in release bottlenecks, unhealthy replicas, and models without traffic
Define the enterprise customer journey and measure feature adoption along the way
Evaluate releases and recovery: measure traffic shifts, evaluate warm-up, drain, probe, and rollback behavior and track MTTR and self-serve incident outcomes
Turn insights into action: analyze customer and cohort behavior, build source-of-truth reporting and self-serve tools, and communicate clear recommendations