Data Scientist

About this role

<div class="content-intro"><h3><span style="font-weight: 400; color: #4065ff;"><strong>Who We Are</strong></span></h3> <p><span style="font-size: 12pt;">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.</span></p> <p><span style="font-size: 12pt;">Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Affirm, Ericsson, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 80% of&nbsp;<a href="https://www.forbes.com/lists/ai50/">Forbes AI 50</a> use Pave to benchmark compensation.</span></p> <p><span style="font-size: 12pt;">The future of pay is real-time &amp; 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.</span></p></div><h3><span style="font-size: 14pt;"><strong><span style="color: #4065ff;">The Data Team @ Pave</span></strong></span></h3> <p><span style="font-size: 12pt;">Data is truly at the heart of what we do here at Pave. So, 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.</span></p> <h3><span style="color: rgb(64, 101, 255); font-size: 14pt;"><strong>What You'll Do</strong></span></h3> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">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</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">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</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Evangelize Pave's compensation community and expertise by fielding data and compensation questions from customers, prospects and internal team members</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop a lightweight measurement framework that measures what's working across our content</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Build a deep understanding of Pave's compensation dataset and translate complex findings into clear, compelling narratives for non-technical audiences</span></li> </ul> <h3><span style="color: rgb(64, 101, 255); font-size: 14pt;"><strong>What You'll Bring</strong></span></h3> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Marketing Mindset: You’ve been a core contributor in using data or metrics for marketing, storytelling, and growth&nbsp;</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Communication and Data Storytelling: Your analyses regularly result in new initiatives, product features, and metrics movement.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Focus on Impact: You prioritize work that will make our product measurably better and our business measurably stronger.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">2+ years of experience in a Data Analyst role, ideally in a customer-facing capacity.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Exceptional data manipulation skills with a proficiency in SQL and python.</span></li> </ul> <h3><span style="color: rgb(64, 101, 255); font-size: 14pt;"><strong>Nice to haves</strong></span></h3> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with compensation and labor market data (or willingness to learn)&nbsp;</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with data tools like dbt, Hex, Claude code</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience building customer-facing data products</span></li> </ul> <h3><span style="color: rgb(64, 101, 255); font-size: 14pt;"><strong>Compensation, It's What We Do.</strong></span></h3> <p><span style="font-size: 12pt;">At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.</span></p> <p><span style="font-size: 12pt;">Targeted cash compensation for this role: <br>P2: $115,000 - $144,000 <br>P3: $139,000 - $174,000</span></p> <h3><span style="font-size: 14pt;"><strong><span style="color: rgb(64, 101, 255);">Benefits @ Pave</span></strong></span></h3> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><span style="font-size: 12pt;">At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.</span