AI Data Scientist

We're building the creative layer for modern communication. Every month, over a billion people make presentations — but the tools they use to make them haven't evolved in decades. We're changing that, using AI to disrupt a massive market.

Millions of people rely on Gamma to create, teach, and persuade, creating more than 1 million gammas every day.

We see Gamma as the next great workplace tool, combining viral B2C love with a massive B2B opportunity. We believe AI can be a true creative partner: one that understands context, clarity, and taste.

We’ve reached a $2.1B valuation, crossed $100M in annual recurring revenue, and have been profitable since 2023.

We're an imaginative, passionate team who takes our work seriously, but not ourselves. Our culture is warm, a little quirky, and fueled by curiosity.

About the role

You'll be our first Data Scientist, turning mountains of user data and AI outputs into insights that shape how millions of people create content. With 1 million+ AI-generated presentations and 5 million+ AI images created daily, you're sitting on a goldmine of signal. Your job is to find the patterns, measure what matters, and help us ship better features faster.

This role combines the rigor of experimentation with the creativity of detective work. You'll design A/B tests that measure product impact, build dashboards that reveal how our AI models perform across different user segments, and investigate thorny questions like "What makes a good AI-generated presentation?" or "Why did this feature work differently for enterprise versus consumer users?" You'll partner closely with product, engineering, and design teams to define quality metrics, uncover edge cases, and guide decisions with data.

You'll thrive here if you're curious, comfortable with ambiguity, and excited to figure out what questions to ask instead of just answering the ones given to you. You'll need strong statistical foundations, the ability to communicate complex ideas clearly, and a passion for understanding how AI products work in the real world.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

What you'll do

• Design and analyze large-scale A/B tests and experiments with statistical rigor to measure product impact and guide decision‑making

• Build dashboards and metrics frameworks that help the team understand AI model performance, user behavior, and product health

• Dig into AI model outputs across different user cohorts to identify patterns, edge cases, and opportunities for improvement

• Partner with engineering and product teams 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

• Investigate complex questions about feature performance, user behavior, and what drives engagement with AI‑powered creation tools

What you’ll bring

• 3–5 years of experience as a data scientist, ideally in a product‑focused or consumer tech environment

• Strong statistical foundations with hands‑on experience designing and analyzing A/B tests and experiments

• Proficiency in Python for data analysis and SQL for querying large datasets

• Experience working with large‑scale data and building metrics frameworks from scratch

• Ability to communicate complex technical concepts to non‑technical stakeholders and influence product decisions

• Curious mindset and comfort with ambiguity—excited to figure out what questions to ask, not just answer the ones given to you

• Familiarity with machine learning concepts and evaluating model performance in production settings

• Experience working with AI/ML products, especially LLMs or generative AI applications

• Experience with modern data stack tools like dbt and Snowflake

Compensation range

Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.

If you’re interested in this role but you don’t meet every requirement, we encourage you to…