Data Scientist, Product Analytics Jobs

Airtable

Location:
United States, San Francisco ▼
New York City
Austin

Category:
IT - Software Development

Contract Type:
Not provided

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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Data Scientist, Product Analytics