Data Scientist, B2B Demand Generation, Growth & Measurement

at OpenAI
USD 293,000-385,000 per year
SENIOR
✅ Hybrid
✅ Relocation

Tech Stack

AI @ 4 B2B Marketing @ 8 CRM @ 7 Communication @ 6 Customer Acquisition Data Science @ 8 Experimentation @ 4 LLM Marketing @ 4 Observability @ 6 Prioritization @ 6 Python @ 7 SQL @ 7 Statistics @ 6 Web Analytics @ 7

Details

About the Role

OpenAI is hiring a Data Scientist to lead measurement, experimentation, and decision science for B2B marketing demand generation. The role focuses on understanding which marketing investments create incremental demand, qualified pipeline, and revenue, and how to scale them efficiently.

The role will help build a rigorous, full-funnel view of how B2B marketing creates demand and moves prospects from awareness and engagement to qualified opportunities, closed-won revenue, and expansion. It will shape how marketing impact and influence are measured across channels, campaigns, audiences, and account segments.

The Data Scientist will partner closely with B2B Marketing, Demand Generation, Growth, Sales, RevOps, and Finance to connect marketing activity to qualified pipeline, customer acquisition, and efficient revenue growth.

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.

Requirements

  • 10+ years in a quantitative role such as Data Science, B2B Demand Gen Marketing Science, Growth Analytics, or 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 skills, with the ability to influence marketers, sales and finance leaders, data scientists, product managers, and engineers using 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.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company pushes the boundaries of AI system capabilities and seeks to deploy them safely through its products.

OpenAI is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics. Background checks are administered in accordance with applicable law. OpenAI is committed to providing reasonable accommodations to applicants with disabilities.

Benefits

  • Base pay of $293,000–$385,000 per year.
  • Equity and performance-related bonuses for eligible employees.
  • Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental, medical, and caregiver leave.
  • Paid time off, paid company holidays, office closures, and paid sick or safe time as required by applicable law.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily meals in offices and eligible meal delivery credits.
  • Relocation support for eligible employees.
  • Additional taxable fringe benefits may be provided, including charitable donation matching and wellness stipends.

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