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Data Scientist, Handshake AI

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: We Love AI Jobs
Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Data Analyst, AI Business & Operations, AI Evaluation, Business Intelligence
Salary/Wage Range or Industry Benchmark: 135000 - 180000 USD Yearly USD 135000.00 180000.00 YEAR
Job Description & How to Apply Below
# Data Scientist, Handshake AI Handshake

San Francisco, CAFull-time $135,000 – $180,000 / year Upload your resume once and Scout applies for you Apply with Scout Share this job:

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This Data Scientist analyzes expert performance, task quality, and operational efficiency across human-data training workflows. The role builds metrics and reporting, then works with product and operations teams to guide workflow and business decisions.
* Permanent* On-site
* 3–5 years### Skills and expertiseSQLPythonpandas

Jupyter notebooksdbtdata analysisdashboardingA/B testing### Key responsibilities
* Analyze large datasets on expert performance, task quality, and operational workflows using SQL.
* Define and maintain metrics, dashboards, and self-serve analytics for operational decisions.
* Translate business questions into actionable analyses with product and operations partners.## How this job compares

Compared with 256 open mid-level data jobs on October 10, 2026.Pay:
This job pays $135K to $180K a year. The 67 open mid-level data jobs that publish US pay start at $126K on average, so this job starts about 7% higher.

Similar open jobs:
We Love AI Jobs lists 256 open mid-level data jobs at 104 companies.

Remote work:
This job is on site. 91 of the 256 mid-level data jobs (36%) are remote.

AI in this role:
Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role analyzes human-data training workflows and may work with data labeling and evaluation processes. Its core work is analytics and measurement rather than building or evaluating models directly.## Full 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 Linked In 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…
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