Senior Data Scientist (Product Analytics)

Join Handshake, a leading recruiting marketplace, as a Senior Data Scientist specializing in Product Analytics. In this impactful role, you will drive measurement and strategy across marketplace health, liquidity, pricing, and product-led growth. You will partner closely with Product, Engineering, and Leadership to shape the future of our marketplace. Your responsibilities will include owning analytics strategy, leading experimentation, conducting deep analyses, collaborating with Analytics Engineering, building dashboards, and championing AI-powered workflows.

• Lead analytics for Handshake’s Recruiting marketplace, driving measurement and strategy across marketplace health, liquidity, pricing, and product-led growth.
• Own analytics strategy, domain metrics, goal setting, and reporting for your product area, and lead experimentation, including test design, instrumentation, analysis, and recommendations.
• Conduct deep analyses across user behavior, funnels, cohorts, and marketplace performance to uncover actionable insights, and collaborate with Analytics Engineering to define trusted metrics and scalable data models.
• Experience partnering closely with Product Managers, Engineers, and cross-functional stakeholders
• Python experience for analytics (e.g., Jupyter notebooks, pandas)
• High ownership mindset with the ability to independently drive ambiguous projects to completion
• Strong experience with experimentation, A/B testing, and statistical analysis
• Expert-level SQL skills with experience analyzing large, complex datasets
• 5+ years of experience as a Data Scientist or Product Analyst driving product strategy through data
• Excellent communication skills and the ability to influence technical and executive audiences
• Strong business intuition with the ability to translate data into strategic recommendations
• 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
• Experience working on marketplace, pricing, or growth analytics
• Experience supporting machine learning model evaluation or benchmarking