Data Scientist, GTM

OpenAI

Senior Data Scientist managing analytical strategy for knowledge-worker adoption at OpenAI. Collaborating across departments to improve product usage insights and decision-making processes.

Posted 7/25/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $290,000 - $340,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and product analytics, with a strong focus on defining and operationalizing metrics for user adoption and engagement. Proficient in SQL and Python, capable of translating complex data insights into actionable recommendations for diverse stakeholders.

Highest-signal resume keywords

Data ScienceProduct AnalyticsSQLPythonExperimentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceProduct AnalyticsSQLPythonCausal InferenceCohort AnalysisSegmentationActivation MetricsRetention MetricsEngagement Metrics

Soft Skills

Written CommunicationVerbal CommunicationStakeholder Influence

Tools & Technologies

Enterprise SaaSCollaboration ProductsAI ProductsDeveloper ToolsProductivity Software

Industry Keywords

Behavioral DataTelemetry DesignCross-Surface JourneysProduct TaxonomiesCustomer Evidence

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define a trusted measurement framework for knowledge-worker adoption, including identity, eligible populations, activation, retained usage, penetration, workflow depth, feature adoption, and monetization.
Map the knowledge-worker journey from initial exposure through first successful task, repeated workflows, multi-surface usage, and durable adoption.
Identify which personas, functions, use cases, product capabilities, and account conditions are associated with deep and retained usage.
Design and evaluate experiments and quasi-experiments across onboarding, enablement, workflow templates, connectors, pilots, customer deployment support, and product launches.
Combine behavioral data with customer and field evidence, then translate the findings into crisp recommendations for Product, GTM, Finance, and executive audiences.
Operationalize successful work through durable datasets, scorecards, recurring business narratives, and decision cadences while partnering with Analytics Engineering and product teams to improve instrumentation and data quality.

Requirements

What you’ll need

Significant experience in data science, product analytics, growth analytics, economics, statistics, or a related quantitative field.
Strong hands-on ability in SQL and Python, including experience working with large and imperfect behavioral datasets.
Experience defining activation, retention, engagement, funnel, or product-adoption metrics, with strong knowledge of experimentation, causal inference, cohort analysis, and segmentation.
Ability to translate ambiguous business questions into structured analyses, independently define the analytical direction, and bring senior stakeholders along through clear tradeoff framing.
Strong written and verbal communication skills, including a demonstrated ability to influence senior technical and non-technical stakeholders.
Experience with enterprise SaaS, collaboration products, AI products, developer tools, productivity software, or multi-product platforms.
Experience connecting product usage to revenue, expansion, customer health, enablement, or other GTM interventions.
Experience with identity resolution, cross-surface journeys, telemetry design, evolving product taxonomies, or qualitative customer evidence.
Experience helping establish a new data science area, operating model, technical roadmap, or recurring executive decision cadence.

Benefits

Comp & perks

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.