Data Scientist, Handshake AI
Reads like an Analyst role: dashboards and reporting.
San Francisco, CA · San Francisco, California, United States
- Pay
- Pay not listedSimilar roles state $94K–$143K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering › HAI Engineering — team source
Department: Engineering › HAI Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now, or in the future, require sponsorship for employment visa status?
From the employer’s application form
What you’ll work on
Full postingWe’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.
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 on large, complex datasets about expert performance and task quality
Define and maintain core metrics for data quality, throughput, and efficiency
Build dashboards and self-serve analytics for fast decisions
Find data gaps and quality issues and work with teams to fix them
Turn ambiguous business questions into analyses and recommendations
From the employer’s posting
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.
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.
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.
Tools in this posting
- Python
- SQL
- dbt
- pandas
Source — Tool mentions in context
Extra Credit - Python experience for data analysis, such as pandas and notebooks. - Experience supporting operational, marketplace, quality, or workforce-related analytics.
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.
- 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.
- Exposure to AI data workflows, data labeling, or evaluation processes. - Experience with analytics engineering, including building and maintaining DBT models. Perks
Benefits in the posting
Full benefits wording- 🎯 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
- 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
From the employer’s posting.
About Handshake
Handshake AI is the fastest-growing, most critical, and most revenue-generating part of Handshake's business.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 2026 · 29 days ago
- Recorded sightings
- 48
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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.
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- Pay
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- Location & working pattern
San Francisco, California, United States
📚 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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