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Data Scientist, Handshake AI

Handshake


Job Location:

San Francisco, CA - USA

Yearly Salary: USD 135000 - 180000
Posted: 2 October 2026 (2 days ago)
Application Deadline: 30 December 2026
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

About Handshake AI

Handshake AI is the fastest-growing most critical and most revenue-generating part of Handshakes business. We power expert-labeled data collection at scale matching domain experts with leading AI companies to train frontier modelsand were already a top-three player in one of the fastest-growing sectors in AI: human data. We have the opportunity to do for the AI data economy what LinkedIn did for professional networking: become the default platform where the work happens.

Why join Handshake now:

  • Shape how every career evolves in the AI economy at global scale with impact your friends family and peers can see and feel

  • Work hand-in-hand with world-class AI labs Fortune 500 partners and the worlds top educational institutions

  • Join a team with leadership from Scale AI Meta xAI Notion Coinbase and Palantir among others

  • Build a massive fast-growing business with billions in revenue

About the Role

Were looking for a highly motivated Data Scientist with strong SQL expertise to support analytics measurement and operational insights across our human data training workflows. Youll work with messy fast-moving data related to expert performance task quality throughput and overall operational efficiency.

This is a hands-on role with real ownership close partnership with product and operations and a steep growth curve for someone who executes well.

What Youll Do
  • Write advanced SQL to analyze large complex datasets related to expert performance task quality and operational workflows.

  • Define build and maintain core metrics that measure data quality throughput productivity and operational efficiency.

  • Partner with Product Operations and cross-functional stakeholders to answer high-impact business and product questions.

  • Conduct analyses that inform workflow design task improvements and operational decision-making.

  • Build dashboards reporting and self-serve analytics that enable fast informed decisions.

  • Identify data gaps inconsistencies and quality issues then partner with relevant teams to resolve them.

  • Translate ambiguous business questions into clear analyses and actionable recommendations.

  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Desired Capabilities
  • 35 years of experience in Data Science Product Analytics Business Intelligence or a related analytical role.

  • Expert-level SQL skills and experience working with large complex datasets.

  • Strong analytical judgment and comfort working with imperfect real-world data.

  • Experience defining metrics and using data to influence product or business decisions.

  • High ownership mindset and ability to independently drive complex work forward.

  • Strong communication skills and comfort partnering cross-functionally in a fast-paced environment.

Extra Credit
  • Python experience for data analysis such as pandas and notebooks.

  • Experience supporting operational marketplace quality or workforce-related analytics.

  • Experience with experimentation A/B testing or metrics-driven product development.

  • Exposure to AI data workflows data labeling or evaluation processes.

  • Experience with analytics engineering including building and maintaining DBT models.

Perks
  • Handshake delivers benefits that help you feel supportedand thrive at work and in life.

    The below benefits are for full-time US employees.

    Ownership: Equity in a fast-growing company

    Financial Wellness: 401(k) match competitive compensation financial coaching

    Family Support: Paid parental leave fertility benefits parental coaching

    Wellbeing: Medical dental and vision mental health support wellness stipend

    Growth: Learning stipend ongoing development

    Remote & Office: Internet commuting and free lunch/gym in our SF office

    Time Off: Flexible PTO 15 holidays 2 flex days

    Connection: Team outings & referral bonuses

    Explore our mission values and comprehensive US benefits at Experience:

    IC


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