Product Data Scientist

Baseten; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Baseten is hiring a Product Data Scientist to define how data drives product decisions on a foundational, hands-on team. You’ll work with founders, Product, and Engineering to determine what we measure, how we run experiments, and how results shape strategy.

Expect to handle clickstream, inference telemetry, and observability data to improve reliability and developer experience. You’ll partner with teams to build source-of-truth reporting and self-serve tools, shaping the product roadmap and

Qualifications

• 5+ years in product data science, product analytics, or another quantitative role.
• Deep SQL and Python fluency, with experience analyzing large event-level datasets.
• Hands-on forecasting with ARIMA, Prophet, or comparable time-series methods; strong experimentation skills.

Responsibilities

• Partner with Product and Engineering to frame questions and turn analysis into roadmap decisions.
• Define product success metrics across activation, adoption, retention, and reliability.
• Design measurement plans for launches and analyze A/B experiments and controlled rollouts.
• Map enterprise customer journeys and measure feature adoption at each stage.
• Evaluate releases by traffic shifts, warm-up, probe, rollback, MTTR, and self-serve incidents.
• Analyze customer behavior and share clear recommendations.

Skills

SQL

Python

Experimentation

A/B testing

Tools

Prophet

ARIMA

Job description

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 Product Data Scientist to set up how Baseten uses data to make product decisions. Product is a new function at Baseten, and you'll be one of the people who defines it. You'll work directly with our founders, Product, and Engineering, and alongside GTM, to decide what we measure, how we run experiments, and how the results shape strategy. This is a foundational, hands‑on role. You'll define what success looks like on a technical, usage-based platform, and you'll turn open‑ended questions into analyses, forecasts, and experiments. You'll work with everything from clickstream and product events to inference telemetry and observability data, helping Baseten make faster calls on reliability, performance, adoption, and developer experience.

EXAMPLE INITIATIVES

Take a look at these blog posts that show the kinds of systems and data you'll work with:

• How leading platforms ensure observability for LLM inference
• How the Baseten Delivery Network (BDN) makes cold starts fast
• How we built RBAC that scales for the enterprise

RESPONSIBILITIES

• Partner with Product and Engineering to frame the questions that matter, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions.
• Define product success metrics across activation, adoption, retention, expansion, reliability, and user experience.
• Design measurement plans for launches, analyze A/B experiments and controlled rollouts, and turn the results into product decisions.
• Map the enterprise customer journey and measure feature adoption at each stage.
• Evaluate releases and recovery by measuring traffic shifts, analyzing warm‑up, drain, probe, and rollback behavior, and tracking MTTR and self‑serve incident outcomes.
• Analyze customer and cohort behavior and share clear recommendations.
• Build source‑of‑truth reporting and self‑serve tools that teams across Baseten can rely on.

REQUIREMENTS

• 5+ years of experience in product data science, product analytics, or another quantitative role, ideally supporting developer platforms, APIs, or B2B products. Deep SQL and Python fluency, with a track record of analyzing large event‑level datasets and producing decision‑ready work.
• Strong statistical judgement and hands‑on experimentation experience, including test design, power analysis, and knowing when directional evidence is enough to act on.
• Hands‑on forecasting experience with ARIMA, Prophet, or comparable time‑series methods, including discipline