Lead analytics for Handshake’s Recruiting marketplace, driving measurement and strategy across various product metrics.
Posted by employer 3 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
Champion AI-powered workflows and help shape the future of Product Analytics at Handshake.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Scientist for Product Analytics at Handshake, the individual will focus on defining and measuring key metrics related to the recruiting marketplace, driving analytics strategy, and influencing product direction. Proficiency in SQL and experience with A/B testing and statistical analysis are essential, along with a strong background in data-driven product strategy. This position is well-suited for someone with over five years of experience who can navigate complex datasets and collaborate effectively with cross-functional teams. The role offers the chance to work closely with the Relevance team on machine learning initiatives, contributing to the overall growth and
Joblaze insights
Quick facts
From the original posting
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.
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.
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.
Handshake delivers benefits that help you feel supported—and thrive at work and in life.
🎯 Ownership: Equity in a fast-growing company
💰 Financial Wellness: 401(k) match, competitive compensation, financial 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
🤝 Connection: Team outings & referral bonuses
Standard company text repeated across Handshake's postings is omitted here.