Data Scientist, Handshake AI
Job Description
About Handshake AI
Handshake AI is the fastest-growing, most critical, and most revenue-generating part of Handshake's business. We power expert-labeled data collection at scale, matching domain experts with leading AI companies to train frontier models—and we're 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 world's 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
We’re looking for a highly motivated Data Scientist with strong SQL expertise to support analytics, measurement, and operational insights across our human data training workflows. You’ll 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 You’ll 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
• 3–5 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 supported—and 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 joinhandshake.com/careers.
Requirements
Department: Engineering
Team: HAI Engineering