Senior Data Scientist (Product Analytics)

• 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
• 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

Benefits

• Health Insurance: Comprehensive medical , dental, and vision coverage
• Fertility and family forming: Through a partnership, Handshake offers comprehensive family benefits, including infertility treatments and a $15K stipend, to its employees.
• LGTBQ+ coverage: All medical plans cover transgender services.
• Mental health: Discounts on a variety of wellness apps and an Employee Assistance Program with access to five free counseling sessions.
• Tax savings: Tax-advantaged benefits to save money on healthcare, dependent care, and other expenses.
• Life & disability insurance: Essential benefits and automatic coverage with basic life insurance, plus short-term and long-term disability coverage.
• 401k match: Dollar-for-dollar match up to 1% of pay, with a max of $1,200 per year.
• Equity: Our equity program includes grants at hire, refresher grants after two years of tenure, and grants alongside promotions.
• Financial management: Handshake partners to provide free professional financial planning services.
• Learning & development: Employees are provided with an annual stipend to use towards professional development, career development workshops, manager trainings, and 1-on-1 coaching through external partnerships
• Community leader support: Employee Resource Group leaders are compensated with a quarterly bonus for the high-impact work the role requires
• Parental leave: Leaves of 16 weeks for birth-giving parents and 10 weeks for non-birth-giving parents; the policy applies to adoptions as well. Handshake also partners to provide one-on-one coaching on preparing for leave and coming back from leave
• Flexible time off: No accrued time off or waiting period to take vacation. Two paid flexible holiday days off to observe holidays that closely align with religious, cultural, and personal needs
• Sabbatical: Paid six-week sabbatical to recharge and reset beginning at six years of continuous, full-time employment, and every four years thereafter
• Volunteer time off: Two days off for social and civil activism, volunteer work, and/or any related activities, including attending and participating in protests- Experience partnering closely with Product Managers, Engineers, and cross-functional stakeholders
• Excellent communication skills and the ability to influence technical and executive audiences
• 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
• Strong experience with experimentation, A/B testing, and statistical analysis
• High ownership mindset with the ability to independently drive ambiguous projects to completion
• Python experience for analytics (e.g., Jupyter notebooks, pandas)
• 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