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Data Scientist, Product Analytics

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Airtable

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Location:
United States, San Francisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

185300.00 - 266300.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • Own and maintain core product data pipelines across DBT, Looker, and Omni
  • Build and refine dashboards that deliver self-serve, real-time insights
  • Lead the development and delivery of company-wide strategic insights
  • Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
  • Establish trusted partnerships as the go-to resource for product data insights
  • Collaborate with leadership to define the analytics roadmap and prioritize initiatives
  • Mentor junior team members and cross-functional partners
  • Support end-to-end analytics for all product launches
  • Deliver comprehensive strategic analyses or experiments
  • Lead or participate in cross-functional projects
  • Migrate engineering team dashboards to Omni or Databricks

Requirements:

  • 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)
  • 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
  • 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

Nice to have:

  • Background in SaaS, consumer tech, or data-driven product environments
  • Experience at an AI-native company, with exposure to building or scaling products powered by AI
What we offer:
  • Benefits
  • Restricted stock units
  • Incentive compensation

Additional Information:

Job Posted:
December 05, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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