OpenAI

Data Scientist, B2B Demand Generation, Growth & Measurement

Hybrid San Francisco role leading measurement and experimentation to show which B2B marketing spend drives pipeline and revenue, with AI-driven decision tooling.

The role

This individual contributor sits within B2B marketing and works alongside demand generation, growth, sales operations, and finance. The position centers on building a full-funnel view of how marketing turns prospects into qualified opportunities and closed revenue. The person will also shape how the team scales its most efficient investments.

What you would do

  • Set core, leading, and guardrail metrics spanning engagement, lead and opportunity volume, pipeline influence, conversion, velocity, and incremental ARR
  • Run causal experiments and lift studies adapted to lengthy enterprise sales timelines
  • Break down channel, audience, creative, and account-level results to pinpoint what moves qualified demand
  • Improve tracking setup, campaign naming conventions, CRM hygiene, and lead-to-account matching with cross-functional teams
  • Create LLM- and agent-based workflows that summarize performance and surface growth opportunities for marketers

What they asked for

  • Ten or more years in a quantitative field such as data science, growth analytics, or decision science, including B2B marketing exposure
  • Advanced experimentation and causal inference skills, especially for multi-touch journeys with limited visibility
  • Solid SQL and Python skills for combining marketing, web, product, CRM, and revenue datasets
  • Track record of turning analysis into decisions on budget, channel mix, forecasting, and go-to-market strategy
  • Working knowledge of B2B funnel stages, account-based buying, and attribution tradeoffs
  • Clear communicator who influences executives, peers, and engineers with transparent reasoning
  • Hands-on use of LLMs and agents to speed up analysis and experimentation
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