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

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Pave's careers page October 27, 2026.
Salary band is below the typical range for Data Science roles (median ~$180,000).
Starts above 24% of 25 comparable mid data science roles in United States that list Python we track (median $140,000 across 15 companies). See Python salary trends
Python appears in 69.5% of 59 comparable mid data science roles in United States; SQL appears in 66.1% of 59 comparable mid data science roles in United States.

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

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

2+ years of experience in a data science, analytics engineering, or advanced analytics role, ideally with exposure to customer-facing or external-facing work
SQL experience: You're comfortable writing queries (CTEs, window functions, multi-table joins) against large datasets and have a good understanding of complex queries
Hands on experience in Python for data manipulation / charting to clean, analyze, and visualize data
Data visualization: You have hands-on experience with a BI or notebook tool such as Tableau, Looker, Power BI, Hex, Mode, or Sigma, and you can turn analysis into clear, compelling charts
Communication and data storytelling: You can turn a messy, open-ended question into a clear narrative for both technical and non-technical audiences, and your analyses have led to new initiatives, product features, or metric movement
Marketing mindset: You're excited to use data for storytelling and growth, including trend reports, blog content, and external presentations, and you're willing to be a public-facing voice for our data
Self-direction and focus on impact: You thrive with ambiguity, take a loosely defined problem from question to answer, and prioritize work that measurably improves our product and business
Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, or another relevant field

Nice to haves

Experience with compensation and labor market data
Experience with data tools like dbt, Hex, Claude code
Experience building customer-facing data products

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

Life @ Pave

Standard company text repeated across Pave's postings is omitted here.

Data Scientist