Airtable is seeking a product-focused Data Scientist to drive growth for its self-serve business by transforming raw user data into actionable insights, owning critical data pipelines, designing and analyzing experiments, building dashboards, and informing executive decision-making.
Requirements
- Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices
- Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
- Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
- Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
- Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture
- Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design
- Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics
Responsibilities
- Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime
- Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas
- Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions
- Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports
- Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities
- Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements
- Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities
Other
- 6+ years of experience as a data scientist, data analyst, or data engineer
- Experience supporting product development teams and driving product growth insight
- Background in SaaS, consumer tech, or data-driven product environments preferred
- Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights
- Models curiosity, creativity, and a learner’s mindset; thrives in ambiguity and inspires others to do the same
