Pave
Data Scientist
$115K–$174K
San Francisco, California, United States · Full-time · Posted Jun 4, 2026
- Experience
- 2+ years in data science, analytics engineering, or advanced analytics; ideally with customer-facing or external-facing exposure.
- Education
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, or another relevant field.
About the job
Use Pave’s compensation dataset to produce research, content, and data products, and build measurement to assess content performance.
What you'll do
- Partner with Marketing to analyze data and develop and publish stories across blogs, reports, social content, and landing pages.
- Support Pave Data Lab and Market Data through research, analysis, and special projects; respond to compensation and data questions.
- Build a lightweight framework to measure content performance and translate complex findings into clear narratives.
What they ask for
- SQL experience, including CTEs, window functions, and multi-table joins on large datasets.
- Hands-on Python experience for data manipulation, cleaning, analysis, and visualization.
- Hands-on experience with a BI or notebook tool such as Tableau, Looker, Power BI, Hex, Mode, or Sigma.
- Bachelor's degree in a relevant field.
Nice to have
- Experience with compensation and labor market data.
- Experience with dbt, Hex, Claude code, or customer-facing data products.
Pay
$115,000 - $144,000 USD base salary; $139,000 - $174,000 USD base salary
Tools
SQL, Python, Tableau, Looker, Power BI, Hex, Mode, Sigma
AI focus
The role involves compensation research and data storytelling; the posting also mentions the company uses AI-based fraud detection for applicant identity verification, not as a stated job duty.
Model-written summary · the original posting is authoritative