Data Scientist, Product Analytics

Handshake; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading company is seeking a Data Scientist in Product Analytics to drive product impact through data insights. The role involves collaborating with cross-functional teams, analyzing user behavior, and contributing to product development strategies. Ideal candidates will have strong data science experience, proficiency in SQL, and excellent communication skills.

Qualifications

• 3+ years of professional data science experience.
• Experience using data to support product development.
• Proficiency in SQL and comfort working in Jupyter-style notebooks.

Responsibilities

• Collaborate with product managers and engineers to identify key metrics.
• Analyze user behavior to uncover trends and opportunities.
• Build and maintain dashboards and reports for decision-making.

Skills

Data analysis

SQL

Python

R

Communication

Tools

Looker

Hex

Mode

Job description

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