Airtable-posted 2 months ago
$185,300 - $266,300/Yr
Full-time • Mid Level
Austin, TX
501-1,000 employees

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
  • Comprehensive benefits package
  • Restricted stock units
  • Incentive compensation
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