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 joinhandshake.com.

Requirements

Must-haves

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
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.
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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpython

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Wellness