Ai Data Scientist

• 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

• 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

competitive equity