Data Scientist
Listed on 2026-09-13
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IT/Tech
Data Scientist, Data Analyst
At Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 9,000+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Aff…
Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Aff… 80% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $175M in funding from leading investors like Andreessen Horowitz (a16z), Index Ventures, Y Combinator, Insight Partners, Atomico, Venture Partners, and Craft Ventures.
Who We AreAt Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 9,000+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Aff…
Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Aff… 80% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $175M in funding from leading investors like Andreessen Horowitz (a16z), Index Ventures, Y Combinator, Insight Partners, Atomico, Venture Partners, and Craft Ventures.
The Data Team @ PaveData is truly at the heart of what we do here , it’s no surprise that Pave data team members are integral collaborators and strategic owners with company‑wide impact, enabling us to build a stellar product experience. The Insights pod is the team that turns Pave’s one‑of‑a‑kind real‑time compensation dataset into stories: research reports, market indices, content campaigns, and data products that shape how the market thinks about pay.
We're looking for a Data Scientist to join this pod and help us scale our storytelling, serve our customers better, and build the measurement foundation to make smarter decisions about where we invest next.
- Partner with Marketing to take data stories from brief to published asset: running the analysis, building the narrative, and iterating fast across blogs, reports, social content, and landing pages
- Support Pave's data products, including Pave Data Lab and Market Data, with research, analysis, and special projects that keep our content fresh and differentiated
- Evangelize Pave's compensation community and expertise by fielding data and compensation questions from customers, prospects and internal team members
- Develop a lightweight measurement framework that measures what's working across our content
- Build a deep understanding of Pave's compensation dataset and translate complex findings into clear, compelling narratives for non-technical audiences
- Marketing Mindset:
You’ve been a core contributor in using data or metrics for marketing, storytelling, and growth - Communication and Data Storytelling:
Your analyses regularly result in new initiatives, product features, and metrics movement. - Focus on Impact:
You prioritize work that will make our product measurably better and our business measurably stronger. - 2+ years of experience in a Data Analyst role, ideally in a customer-facing capacity.
- Exceptional data manipulation skills with a proficiency in SQL and python.
- Experience with compensation and labor market data (or willingness to learn)
- Experience with data tools like dbt, Hex, Claude code
- Experience building customer-facing data products
At Pave,…
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