Data Scientist, Product Analytics at Handshake

Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

Your impact

Handshake is looking for a Data Scientist, Product Analytics to help shape how we measure and grow the impact of our products across students, employers, and university partners. In this role, you’ll partner with product, engineering, and analytics stakeholders to deliver actionable insights and experimentation frameworks that guide key product and growth decisions. You’ll be embedded in our Data team and report to the Senior Manager of Data & Analytics.

Your role

As a Data Scientist at Handshake, you will:
Collaborate with product managers and engineers to identify key metrics and drive analytics workstreams
Analyze user behavior to uncover trends, patterns, and opportunities for product improvement
Contribute to experiment design, implementation, and analysis to guide feature development
Build and maintain dashboards and reports to support ongoing tracking and decision-making
Help define and refine data models in partnership with Analytics Engineering
Translate complex data findings into clear, actionable insights for cross-functional stakeholders

Your experience

3+ years of professional data science experience
Experience using data to support product development, including working with cross-functional teams
Proficiency in SQL and comfort working in Jupyter-style notebooks using Python or R
Awareness with A/B testing and experimentation best practices
Ability to conduct analysis across user cohorts, funnels, and time-series datasets
Robust written and verbal communication skills, especially in summarizing insights for non-technical audiences
Experience with BI tools such as Looker, Hex, or Mode

Bonus areas of expertise

Exposure to product analytics in a multi-sided marketplace
Knowledge with dbt or similar data modeling frameworks
Prior experience contributing to data-informed product strategies

Compensation range

$150,000-$200,000

Life at Handshake

Handshake is the college career network of the future, built to transform the recruiting experience for college students, career centers and employers. Our mission is to democratize access to opportunity: to help every college student find the right job for them, no matter where they go to school, what they're majoring in, or who they know.

We do this by connecting college students and young alumni to a comprehensive national network, all built on a fast, scalable, mobile infrastructure. Handshake's network gives students access to more career opportunities and insights, provides employers with more comprehensive and efficient access to talent, and gives colleges more tools to drive student engagement and increase student employment.

Launched in 2014, Handshake is the ultimate career network and recruiting platform for college students and young alumni. With 500+ U.S. universities, 9 million students and alumni, and 250,000 employers (including 100% of the Fortune 500), Handshake is designed to transform the recruiting experience for students, recruiters, and career centers.

Handshake, headquartered in San Francisco, CA, has raised $34 million in funding from Spark Capital, KPCB, Lightspeed Ventures, True Ventures, and Lowercase Capital. Read more about Handshake at www.joinhandshake.com.

Thrive Here & What We Value

Inclusive culture built on respect for all individuals

Emphasis on diversity, equity, and inclusion (DEI)

Flexible remote work options

HubBased Remote Working strategy

Comprehensive benefits package

Opportunities for growth and career development

Collaborative and innovative environment

Commitment to providing reasonable accommodations in the recruitment process

Flexible time off policy for employees in fulltime positions

Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage

Job Functions1. Data Analysis2. Product Development3. Analytics Workstreams4. Experiment Design and Implementation5. Dashboard and Report Maintenance

Job Requirements1. 3+ years of professional data science experience2. Experience using data to support product development, including working with crossfunctional teams3. Proficiency in SQL and comfort working in Jupyterstyle notebooks using Python or R4. Awareness with A/B testing and experimentation best practices5. Ability to conduct analysis across user cohorts, funnels, and timeseries datasets

Skills1. SQL2. Python or R3. A/B Testing and Experimentation Best Practices4. BI Tools such as Looker, Hex, or Mode5. Data Modeling Frameworks like dbt1. Robust Written and Verbal Communication Skills2. Ability to Summarize Insights for NonTechnical Audiences3. Crossfunctional Collaboration4. Strong Analytical Thinking5. Attention to Detail