Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team. In this high-impact role, you’ll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable’s self-serve business. You’ll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making. This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization.

• 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
• Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance
• Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities
• Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge
• 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
• Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions
• Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics

• Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
• 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
• 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
• Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights
• Provides thought leadership on user funnels, retention, and growth analytics
• Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows
• Experience at an AI-native company, with exposure to building or scaling products powered by AI
• Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design
• Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness
• Models curiosity, creativity, and a learner’s mindset; thrives in ambiguity and inspires others to do the same
• Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. 

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If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.