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Senior Data Scientist, Product Analytics

Lead analytics for Handshake’s Recruiting marketplace, driving measurement and strategy across various product metrics.

Location
San Francisco, CA
Compensation
Not disclosed
Level
senior
Type
full time · Hybrid

Posted by employer 3 days ago

First seen on Joblaze 3 days ago

Last verified on the company career page 1 day ago

Apply at Handshake → Save job Scanned from joinhandshake.com

What you'll build

  • Define and measure marketplace health, liquidity, pricing, and growth
  • Own analytics strategy and reporting for product area
  • Lead experimentation and analysis
  • Conduct deep analyses across user behavior and marketplace performance
  • Build dashboards for data-driven decision making

Must have

  • 5+ years of experience as a Data Scientist or Product Analyst
  • Expert-level SQL skills
  • Strong experience with experimentation and statistical analysis
  • Python experience for analytics
  • Excellent communication skills

Nice to have

  • Experience working on marketplace, pricing, or growth analytics
  • Experience supporting machine learning model evaluation
  • Experience with BI and visualization tools
  • Enthusiasm for AI-first ways of working

AI in the day-to-day

Champion AI-powered workflows and help shape the future of Product Analytics at Handshake.

Requirements

Experience
5+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

401k Match Education Budget Equity/Stock Options Remote Work Health Insurance Parental Leave

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

  • Listed 3 days ago — first seen on Joblaze September 29, 2026. Last confirmed on Handshake's careers page October 1, 2026.
  • Python appears in 71.2% of 118 comparable senior data science roles in United States; A/B Testing appears in 5.9% of 118 comparable senior data science roles in United States.

Quick facts

Is the Senior Data Scientist, Product Analytics role remote?
It's hybrid — Handshake expects some on-site time in San Francisco, CA.
How much experience is required?
At least 5 years of relevant experience for this Senior Data Scientist, Product Analytics role.
Where is the role based?
Handshake is hiring for this position in San Francisco, CA.
What's the tech stack?
Joblaze extracted these technologies from the posting: A/B Testing, Analytics Engineering, Data Analysis, Machine Learning, Python, SQL.
What seniority level is this role?
Handshake targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Data Scientist, Product Analytics role at Handshake.

From the original posting

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.

    🎯 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.

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