Product Data Scientist

Baseten

. Partner with Product and Engineering to frame important questions, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions .

Posted 10/7/2026full-timeUnited StatesMid-LevelSenior💰 $185,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product data science and analytics, with a strong focus on SQL and Python for analyzing large datasets and producing actionable insights. Proficient in designing measurement plans, A/B testing, and developing data architectures to inform product strategy and enhance user experience.

Highest-signal resume keywords

Product Data ScienceSQL FluencyPython ProficiencyStatistical JudgmentA/B Testing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisExperiment DesignForecastingBacktestingError AnalysisTime-Series MethodsMedallion Data ArchitectureDecision-Ready ReportingCustomer Journey MappingFeature Adoption Measurement

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

DbtBI ToolsSigmaHexAI/ML InfrastructureModel ServingGPU Systems

Industry Keywords

B2B ProductsAPIsUsage-Based PricingPlatform Unit EconomicsCapacity Planning

Tech Stack

Tools & technologies

Distributed SystemsPythonSQL

About the role

Key responsibilities & impact

Partner with Product and Engineering 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 for launches and analyze A/B experiments and controlled rollouts
Turn experiment 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 for teams across Baseten
Work with founders, Product, Engineering, and GTM to shape data-informed product strategy

Requirements

What you’ll need

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
Track record of analyzing large event-level datasets and producing decision-ready work
Strong statistical judgment and hands-on experimentation experience
Experience with test design and power analysis
Hands-on forecasting experience with 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 is a nice to have
Experience with usage-based pricing, APIs, platform unit economics, capacity planning, or enterprise product analytics is a nice to have
Experience with model-serving frameworks and inference engines such as vLLM, SGLang, and Dynamo is a nice to have
Unrestricted work authorization in the United States

Benefits

Comp & perks

Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities