Impact-Driven Product Data Scientist (AI Platform)

Jobtailor; California (MO); On-site; USD 150,000 - 210,000; Full time

Job summary

Baseten is seeking a Product Data Scientist to partner with Product and Engineering to frame questions and turn analysis into roadmap decisions for a leading AI inference platform.

You will define product-success metrics across activation, adoption, retention, expansion, reliability, and user experience; design measurement plans; and translate results into actionable product decisions that drive enterprise outcomes.

Qualifications

• 5+ years of experience in product data science, product analytics, or another quantitative role.
• Fluent in SQL and Python.
• Experience analyzing large event-level datasets and producing decision-ready work.
• Strong statistical judgment and practical experimentation experience, including test design and power analysis.
• Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods.
• Experience with disciplined backtesting, error analysis, and scenario planning.
• Experience designing medallion data architectures, including raw, conformed, and business-ready models with testing, documentation, and lineage.
• Familiarity with dbt, semantic layers, data ontology, and BI tools such as Sigma or Hex.
• Experience with AI/ML infrastructure, model serving, GPU systems, or observability for distributed systems preferred.
• Experience with usage-based pricing, APIs, platform unit economics, capacity planning, and/or enterprise product analytics preferred.
• Experience with model-serving frameworks and inference engines including vLLM, SGLang, and Dynamo preferred.

Responsibilities

• Partner directly with Product and Engineering, alongside GTM, to frame important questions, 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, analyze A/B experiments and controlled rollouts, and translate results into product decisions
• Diagnose reliability and scaling behavior by joining customer signals with request, replica, deployment, and cluster telemetry
• Define the enterprise customer journey and measure feature adoption
• Evaluate releases and recovery, including traffic shifts, warm-up, drain, probe, rollback behavior, MTTR, and self-serve incident outcomes
• Analyze customer and cohort behavior, build source-of-truth reporting and self-serve tools, and communicate recommendations
• Work with Product, Engineering, and GTM to establish data-driven product decision-making at Baseten, an AI inference platform

Skills

Product Data Science

SQL Fluency

Python Proficiency

A/B Testing

Time-Series Forecasting

Tools

dbt

Sigma

Hex

BI Tools

Job description

Baseten is seeking a Product Data Scientist to partner with Product and Engineering to frame questions and turn analysis into roadmap decisions for a leading AI inference platform.

You will define product-success metrics across activation, adoption, retention, expansion, reliability, and user experience; design measurement plans; and translate results into actionable product decisions that drive enterprise outcomes.