Data Scientist, Handshake AI

We Love AI Jobs; San Francisco (CA); On-site; USD 135,000 - 180,000; Full time

Benefits offered by this job

Benefits

Job summary

Handshake AI in San Francisco, CA is seeking a Data Scientist to analyze expert performance, task quality, and operational workflows. You will build metrics, dashboards, and self-serve analytics to guide product and operations decisions.

You will own SQL-driven analyses on large datasets, partner with product and operations teams, and translate questions into actionable insights, with a focus on data quality, throughput, and efficiency.

Qualifications

• 3–5 years of experience in Data Science, Product Analytics, BI, or a related analytical role.
• Expert-level SQL skills and experience working with large, complex datasets.
• Experience defining metrics and using data to influence product or business decisions.
• Strong communication skills and cross-functional collaboration.

Responsibilities

• Write advanced SQL to analyze large, complex datasets related to expert performance and workflows.
• Define, build, and maintain core metrics and dashboards for operational decisions.
• Partner with Product, Operations, and cross-functional stakeholders to answer high-impact questions.
• Conduct analyses that inform workflow design and task improvements.
• Build dashboards, reporting, and self-serve analytics for fast decisions.
• Identify data gaps and quality issues, then work with teams to resolve them.

Skills

SQL

Python

pandas

Jupyter notebooks

data analysis

dashboarding

A/B testing

Tools

dbt

Job description

# Data Scientist, Handshake AIHandshakeSan Francisco, CAFull-time$135,000 – $180,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis 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 expertiseSQLPythonpandasJupyter 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 comparesCompared 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 descriptionAbout Handshake AIHandshake 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 revenueAbout the RoleWe’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.