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Data Scientist

Join Pave as a Data Scientist to leverage data storytelling and support innovative compensation solutions for top-tier companies.

Location
San Francisco, California, United States
Compensation
$115k–$144k/yr
Level
mid
Type
full time · Hybrid

Posted by employer 3 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Pave → Save job Scanned from pave.com

Skills & Technologies

SQL Python Flexible on stack

AI in the day-to-day

Pave combines the world's largest real-time compensation dataset with expertise in AI and machine learning.

Requirements

Experience
2+ years

Not disclosed in this posting: visa sponsorship.

Benefits

Education Budget Unlimited PTO Remote Work Health Insurance Parental Leave

Joblaze summary

In this role, the Data Scientist at Pave will focus on transforming complex compensation data into engaging narratives that support marketing efforts and enhance customer understanding. Proficiency in SQL and Python is essential, along with a strong background in data analysis and storytelling. This position is ideal for someone with at least two years of experience in a data analyst role, particularly in customer-facing environments. Pave's collaborative culture emphasizes teamwork and a commitment to high standards, making it a fitting environment for driven professionals.

Joblaze insights

Quick facts

Is the Data Scientist role remote?
It's hybrid — Pave expects some on-site time in San Francisco, California, United States.
What's the salary range?
Pave lists $115,000–$144,000 for this role.
How much experience is required?
At least 2 years of relevant experience for this Data Scientist role.
Where is the role based?
Pave is hiring for this position in San Francisco, California, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: Python, SQL.
What seniority level is this role?
Pave targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Data Scientist role at Pave.

From the original posting

Who We Are

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, 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 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 @ Pave

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.

What You'll Do

  • 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

What You'll Bring

  • 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.

Nice to haves

  • 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

Compensation, It's What We Do.

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.

Targeted cash compensation for this role:
P2: $115,000 - $144,000
P3: $139,000 - $174,000

Benefits @ Pave

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.

What we offer

  • Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
  • Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you.
  • Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
  • Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
  • Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
  • Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.

Life @ Pave

Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management — giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom — wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.

We run a hybrid culture that brings teams together in person 3 to 4 days a week — and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us — that we truly enjoy spending time together.

Our culture is shaped by five values we live every day:

  • Be Intellectually Honest — Truth over comfort. We face reality clearly and speak directly, even when it's hard.
  • Play to Win — We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
  • Uphold the Pave Platinum Standard — We hold ourselves to the highest bar — for our customers, our data, and each other.
  • One Team — We win and lose together. Titles don't drive decisions here — shared goals do.
  • Hug of Jawn — Hard to define, impossible to miss. Ask your recruiter.

Our Vision: Unlock a labor market built on trust.

Our Mission: Build confidence in every compensation decision.

We build software that transforms how companies pay their people — and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.

Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.

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