Product Data Scientist

Why join Pave?

At Pave, our vision is simple - Make Compensation Fair. 

How are we going to get there? By building the most intelligent compensation platform, powered by the largest real-time compensation dataset on earth.

We partner with our customers to help them build and retain world-class teams through planning, communicating and benchmarking their team’s compensation in real time.  And you don’t have to just hear it from us — you can hear it from our customers: Hover, Plaid, Fanduel and more! 

We’re growing fast, building an incredible team and product, and having plenty of fun as we do it in our San Francisco and New York City offices. 

If operating with intellectual honesty, playing to win, and focusing on upholding a platinum standard sounds exciting - we highly encourage you to reach out. We’d love to partner on our journey to change the world of compensation! 

Data Science @ Pave

Data is truly at the heart of what we do here at Pave.

So, it’s no surprise that Pave Data Scientists are integral collaborators and strategic owners with company-wide impact, enabling us to build a stellar product experience.

Our Product Data Scientists partner closely with product managers, executives, and even customers to bring new features to market using Pave’s one-of-a-kind real-time compensation dataset.

They’re not only responsible for measuring product success, but also helping build the product itself and ultimately providing customers with insights that influence billions in compensation spend.

What we're looking for

• Product Mindset: You’ve been a core contributor in bringing a data product to market. You’ve designed and implemented product metrics, and deeply integrated them into the product development lifecycle.
• Communication and Data Story-telling: 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.
• 4+ years of experience in a Data Science role, ideally in a product-facing capacity.
• Expert data manipulation skills with a proficiency in SQL.
• Proficiency in statistical modeling with Python.

Nice to haves (but not required) 

• Experience with data transformations using dbt
• Experience building customer-facing data products

What you'll get out of it

• Impact: Your work will impact billions in compensation spend by influencing decisions made in offices and boardrooms worldwide.
• Ownership: You’ll own major strategic initiatives from end-to-end with the support of your incredible teammates and collaborators.
• Visibility: Play a key role in establishing the company as an authority in comp tech through high-profile marketing content and data-driven insights.

A final note — we highly encourage you to apply for this role, even if you don’t feel entirely qualified, or entirely sure. You never know!

Compensation, It's What We Do.

This salary range may include multiple levels. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental and vision coverage, commuter benefits, catered lunch, an unlimited PTO policy, and many other region-specific benefits.Pave's salary range for this position $204,000—$276,000 USD

Our Compensation Philosophy

Pave’s compensation philosophy is to target the 75th percentile of the market for both cash and equity at your job level.  This means that the “mid point” of every band at Pave is the 75th percentile of the broader market.

Pave also has a merit-based philosophy when it comes to compensation increases. We run a performance cycle twice per year to evaluate employees’ performance. Higher than average performance ratings result in compensation increases to the upper end of the individual’s compensation range for their role. The result is that high performers at Pave are paid