Senior Data Scientist, Product Analytics

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.

Responsibilities

• 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.

Requirements

• 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.

Nice to Have

• 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.

Benefits

• 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

Pay

Compensation Range: $162K - $203K