Gamma
AI Data Scientist
San Francisco · Full-time
Sponsorship not specified$180k-$310kDetected 254 days ago
SnowflakeMachine LearningdbtData ScienceLLMsLeadershipMentoringPublic Speaking
About the role
- With over 1 million AI-generated presentations and 5 million AI images created daily, the signal is enormous.
- Your job is to find the patterns, measure what matters, and help us ship better features faster.
- This is an IC role for someone eager to be hands-on, but it can grow into a leadership position establishing the Data function at Gamma.
Responsibilities
- 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
- 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
- You'll partner closely with product, engineering, and design to define quality metrics, uncover edge cases, and guide decisions with data.
Requirements
- 8+ years of experience as a data scientist at product-focused tech companies, with experience managing or mentoring other data scientists
Compensation
- The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $310K plus benefits & equity.
Benefits
- Build frameworks that help the team understand AI model performance, user behavior, and product health across Gamma's platform
This listing is sourced directly from Gamma's careers page and normalized into a canonical job model.