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AI Data Scientist

Gamma
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San Francisco, CA$180k - $310kFull-timePosted 5mo ago

About the role

Founding member of Gamma's data team focused on turning massive user data and AI outputs into actionable insights to shape product development and AI features, with strong emphasis on experimental design, modeling, and cross-functional collaboration.

Responsibilities

  • Build frameworks that help the team understand AI model performance, user behavior, and product health across Gamma's platform
  • Dig into AI model outputs across user cohorts to identify quality gaps and create evals and metrics to measure improvement
  • Partner with engineering and product to define quality metrics for AI-generated content and user satisfaction
  • Develop statistical models and frameworks that empower product teams to make data-informed decisions independently
  • Design and analyze large-scale A/B tests and experiments with statistical rigor to measure product impact and guide prioritization

Qualifications

  • 8+ years of experience as a data scientist at product-focused tech companies, with experience managing or mentoring other data scientists
  • Strong statistical foundations with hands-on experience designing and analyzing A/B tests and experiments at scale
  • Experience working with large-scale data and building metrics frameworks from scratch, including modern data stack tools like dbt and Snowflake and comfort analyzing unstructured or text data
  • Experience working with AI/ML products, especially LLMs or generative AI, with familiarity evaluating model performance in production settings
  • Ability to communicate complex technical concepts to non-technical stakeholders and influence product decisions with clarity and conviction
  • A clear perspective on how agentic coding is transforming the data science role, and genuine excitement about applying AI to your own work (Nice to have)

Skills

Required:AI/ML model evaluationA/B testing and experimental designData frameworks and metricsCommunication with stakeholders
Last updated Sep 16, 2026. Interested? Apply on the company site.

About Gamma

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