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Pave

Builds software for managing employee pay

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 2 years of experience in a data science, analytics engineering, or advanced analytics role, ideally with customer-facing or external-facing exposure.
  • Experience writing SQL queries, including common table expressions, window functions, and multi-table joins, against large datasets, with an understanding of complex queries.
  • Hands-on experience using Python for data manipulation and charting to clean, analyze, and visualize data.
  • Hands-on experience with a business intelligence or notebook tool such as Tableau, Looker, Power BI, Hex, Mode, or Sigma, and ability to turn analysis into clear charts.
  • Ability to turn open-ended questions into clear narratives for technical and non-technical audiences, with analyses that have led to initiatives, product features, or metric movement.
  • Interest in using data for storytelling and growth, including trend reports, blog content, and external presentations, and willingness to be a public-facing voice for company data.
  • Ability to take loosely defined problems from question to answer and prioritize work that measurably improves the product and business.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, or another relevant field.

Responsibilities

  • Partner with Marketing to take data stories from brief to published asset by running analyses, building narratives, and iterating across blogs, reports, social content, and landing pages.
  • Support Pave Data Lab, Market Data, and other data products through research, analysis, and special projects that keep content fresh and differentiated.
  • Answer data and compensation questions from customers, prospects, and internal team members, and promote the compensation community and expertise.
  • Develop a lightweight measurement framework to measure the effectiveness of content.
  • Build a deep understanding of the compensation dataset and translate complex findings into clear, compelling narratives for non-technical audiences.

Desired Qualifications

  • Experience with compensation and labor market data.
  • Experience with data tools such as dbt, Hex, and Claude Code.
  • Experience building customer-facing data products.

About the Company

Pave

Builds software for managing employee pay

Pave builds compensation software for human resources and finance teams to set pay, run salary reviews, and explain total rewards to employees. Its Market Pricing workspace turns job structures and market data into salary ranges and equity targets, while Compensation Planning manages budgets, approvals, and pay recommendations. Employee portals and interactive offer letters show salary, benefits, and equity together, including scenarios for the future value of stock awards. The company sells access to its compensation platform through paid packages and optional product modules for organizations from startups to global enterprises. Pave was founded in 2019 and is headquartered in San Francisco.

Company size
51-200
Company stage
Series C
Total funding
$486.1M
Headquarters
San Francisco, CA
Founded
2019

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