Data Scientist, GTM Intelligence

OpenAI

Data Scientist at OpenAI building decision intelligence systems for customer-facing teams. Defining methodologies and leading product lifecycles with strong analytical and technical skills.

Posted 7/27/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $290,000 - $340,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Set the roadmap and methodology for GTM intelligence and decision products, using deep stakeholder discovery to probe beyond stated requests, uncover the underlying decisions, workflows, constraints, and measures of success, and translate them into measurable systems.
Own the full lifecycle of intelligence products, including feature definition, methodology, evaluation, SQL and Python pipelines, scheduled refresh, serving, versioning, monitoring, and history.
Build canonical feature datasets across product telemetry, commercial systems, CRM data, customer context, and field activity.
Choose appropriately among heuristics, weighted scores, statistical models, ranking approaches, and machine-learning methods based on the decision, data maturity, and operational constraints.
Partner closely with Technical Success and other GTM stakeholders as design partners: digging into their workflows, testing assumptions, and shaping the right solution to improve account prioritization, identify risks and opportunities, select interventions, and measure outcomes.
Define the exposure, action, feedback, and outcome data needed to evaluate and continuously improve GTM intelligence products.
Create monitoring for data quality, freshness, system behavior, threshold performance, adoption, and drift.
Help shape trustworthy consumption layers and machine-readable interfaces for Field Insights, reporting, alerts, and agent workflows without owning the application experience end to end.
Personally ship and operate reliable first versions, partnering with Analytics Engineering and Data Engineering when work requires shared infrastructure, complex ingestion, or greater scale and reliability.

Requirements

What you’ll need

Significant experience in applied Data Science, analytics engineering, machine learning, or a related quantitative role, including direct ownership of production decision systems.
Advanced SQL and strong production Python experience.
Demonstrated success taking a score, signal, recommendation, ranking model, or decision rule from prototype into monitored production use.
Experience with feature engineering, pragmatic model selection, evaluation design, calibration or threshold setting, and ongoing system monitoring.
Experience building or owning reliable data transformations, canonical datasets, scheduled workflows, and application-facing outputs.
Strong stakeholder discovery and communication skills, including the ability to uncover the need behind a stated request and align technical and GTM stakeholders around requirements, methodology, ownership, and tradeoffs.

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.