Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500000 organizations including 80% of the Fortune 100 rely on Airtable to transform how work gets done.

Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science this high-impact role youll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtables self-serve business. Youll 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.

What youll do

• 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

Who you are

• Bachelors 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 learners 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.

VEVRAA-Federal Contractor

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.

Please see our Privacy Notice for details regarding Airtables collection and use of personal information relating to the application and recruitment process by clickinghere.

Stay Safe from Job Scams
All official Airtable communication will come from an @ email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt contact us at . Learn more about avoiding job scams here.