Data Scientist

The role

This Data Scientist will join the Insights pod to turn real-time compensation datasets into research reports, market indices, and data products. You will partner with Marketing to create data stories and develop a measurement framework for content.

What you will do

• Partner with Marketing to take data stories from brief to published asset
• Support Pave's data products with research, analysis, and special projects
• Field data and compensation questions from customers, prospects and internal team members
• Develop a lightweight measurement framework for content
• Translate complex findings into clear narratives for non-technical audiences

Required qualifications

• 2+ years of experience in a data science, analytics engineering, or advanced analytics role
• SQL experience with CTEs, window functions, and multi-table joins
• Hands on experience in Python for data manipulation and charting
• Hands-on experience with a BI or notebook tool such as Tableau, Looker, Power BI, Hex, Mode, or Sigma
• Ability to turn messy questions into clear narratives
• Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, or another relevant field

Nice to have

• Experience with compensation and labor market data
• Experience with data tools like dbt, Hex, Claude code
• Experience building customer-facing data products

Benefits

• Meaningful equity
• Medical, dental, and vision coverage
• Unlimited PTO
• Region-specific benefits
• Lunch and dinner stipends
• Fully stocked kitchens
• Quarterly education stipend
• Robust parental leave
• Commuter stipend

About the company

Pave is building a compensation platform that combines a real-time compensation dataset with AI and machine learning. The company is headquartered in San Francisco with regional hubs in New York City, Salt Lake City, Kraków, and the United Kingdom.