Senior Data Scientist, Product Analytics
Handshake — Tracked from its ashby job board
About the role
ABOUT THE ROLE
We’re looking for a Senior Data Scientist, Product Analytics to lead analytics for Handshake’s Recruiting marketplace. You’ll drive measurement and strategy across marketplace health, liquidity, pricing, and product-led growth, partnering closely with Product, Engineering, and Leadership to shape the future of our marketplace.
This is a highly impactful, hands-on role where you’ll own analytics strategy, influence product direction, and work alongside our Relevance (ML) team to ensure our models deliver measurable business impact.
WHAT YOU’LL DO
- Partner with Product, Engineering, and R&D leadership to define and measure marketplace health, liquidity, pricing, and growth.
- Own analytics strategy, domain metrics, goal setting, and reporting for your product area.
- Lead experimentation, including test design, instrumentation, analysis, and recommendations.
- Partner with our Relevance team to evaluate and benchmark machine learning models.
- Conduct deep analyses across user behavior, funnels, cohorts, and marketplace performance to uncover actionable insights.
- Collaborate with Analytics Engineering to define trusted metrics and scalable data models.
- Build dashboards and reporting that enable fast, data-driven decision making.
- Champion AI-powered workflows and help shape the future of Product Analytics at Handshake.
DESIRED CAPABILITIES
- 5+ years of experience as a Data Scientist or Product Analyst driving product strategy through data.
- Expert-level SQL skills with experience analyzing large, complex datasets.
- Strong experience with experimentation, A/B testing, and statistical analysis.
- Experience partnering closely with Product Managers, Engineers, and cross-functional stakeholders.
- Python experience for analytics (e.g., Jupyter notebooks, pandas).
- Strong business intuition with the ability to translate data into strategic recommendations.
- Excellent communication skills and the ability to influence technical and executive audiences.
- High ownership mindset with the ability to independently drive ambiguous projects to completion.
EXTRA CREDIT
- Experience working on marketplace, pricing, or growth analytics.
- Experience supporting machine learning model evaluation or benchmarking.
- Experience with BI and visualization tools such as Hex, Mode, or similar platforms.
- Enthusiasm for AI-first ways of working and leveraging AI tools to accelerate analysis and decision making.
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 http://joinhandshake.com/careers.
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- What Data Scientist roles ask for — across 355 indexed openings: Python (76%), SQL (63%), ML (58%), REST/APIs (34%), AI/LLM (30%). This posting names Python, SQL, ML.
- Handshake is hiring actively — 41 open roles indexed.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
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