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Data Scientist, B2B Demand Generation, Growth & Measurement

OpenAI· Data Science
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Hybrid (San Francisco)$293k - $385k + equityFull-timePosted 8mo ago

About the role

Data Scientist to lead measurement, experimentation, and decision science for OpenAI's B2B marketing demand generation, building a full-funnel view of how marketing activities drive pipeline and revenue, and scaling insights through AI-native workflows.

Responsibilities

  • Define north-star, leading, and guardrail metrics for B2B demand generation, including account engagement, qualified leads and opportunities, sourced and influenced pipeline, conversion rates, pipeline velocity, and incremental ARR.
  • Design and execute measurement and experimentation strategies across channels and campaigns, using randomized tests, audience or geographic holdouts, lift studies, quasi-experimental methods, and other causal approaches suited to long B2B sales cycles.
  • Analyze channel, audience, campaign, creative, content, landing-page, and account-segment performance to identify the drivers of qualified demand, funnel conversion, pipeline quality, and incremental revenue.
  • Partner with Marketing, Sales, RevOps, Finance, Product, and Engineering to improve instrumentation, campaign taxonomy, CRM data quality, lead-to-account matching, and the operating cadence for acting on measurement insights.
  • Build AI-native measurement and decision-support workflows, using LLMs and agents to synthesize campaign performance, surface growth opportunities, and help marketers act on evidence at scale.

Qualifications

  • 10+ years in a quantitative role such as Data Science, B2B Demand Gen Marketing Science, Growth Analytics, Decision Science, with meaningful experience supporting B2B marketing, demand generation, pipeline growth, or enterprise and SMB go-to-market motions.
  • Deep expertise in experimentation, causal inference, and applied statistics, including incrementality testing and measurement strategies for multi-touch marketing journeys, limited observability, and long or heterogeneous sales cycles.
  • Strong technical fluency in SQL and Python, with experience joining and analyzing marketing-platform, web analytics, product, CRM, account, opportunity, and revenue data to produce reliable business insights.
  • Proven ability to translate analysis into marketing decisions, including channel and audience prioritization, campaign optimization, funnel improvements, budget allocation, forecasting, and go-to-market strategy.
  • Strong business judgment and a bias toward action.
  • Strong understanding of B2B funnel mechanics, account-based buying journeys, sales handoffs, lead and opportunity qualification, attribution tradeoffs, instrumentation, and the relationship between marketing investment, pipeline, and revenue.
  • Excellent communication and cross-functional partnership. You can influence marketers, sales and finance leaders, data scientists, product managers, and engineers with clear recommendations, credible evidence, and transparent tradeoffs.
  • AI-native mindset and hands-on experience using LLMs, agents, and modern AI tools to automate analysis, accelerate experimentation, and build scalable decision-support workflows.

Skills

Required:Metrics design and interpretationExperimentation & causal inferenceSQLPythonCommunication & cross-functional partnership

Benefits

  • 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
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices and meal delivery credits
  • Relocation support for eligible employees
  • Additional taxable fringe benefits such as charitable donation matching and wellness stipends
Last updated Aug 13, 2026. Interested? Apply on the company site.

About OpenAI

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Company profileWebsite

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