Airtable · 1 day ago
Data Scientist, Product Analytics
United States
Full-time
Remote
Senior Level
$205K/yr - $266K/yr
6+ years expAirtable is a no-code app platform empowering organizations to enhance their business processes. The company is seeking a product-focused Data Scientist to join their Analytics & Data Science team, where the role involves transforming user data into actionable insights, owning data pipelines, and collaborating with product teams to drive growth.
DatabaseDeveloper ToolsSaaSSoftware
Responsibilities
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
Qualification
Required
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
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
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
Preferred
Background in SaaS, consumer tech, or data-driven product environments preferred
Experience at an AI-native company, with exposure to building or scaling products powered by AI
Benefits
The opportunity to receive benefits
Restricted stock units
May include incentive compensation
Company
Airtable
Airtable is a cloud-based software company that offers an online platform for creating and sharing relational databases.
501-1000 employees
H1B Sponsorship
Airtable has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (12)
2023 (16)
2022 (40)
2021 (28)
2020 (11)
Funding
Current Stage
Late StageTotal Funding
$1.35BKey Investors
XNGreenoaksThrive Capital
2022-07-01Secondary Market
2021-12-13Series F· $735M
2021-03-15Series E· $270M
Leadership Team
Howie Liu
Cofounder, CEO
Andrew Ofstad
Co-founder
Recent News
Crunchbase News
2025-12-09
2025-12-02
Company data provided by crunchbase