PitchMeAI Jobs
Pave

Data Scientist

Pave · San Francisco, California, United States

Posted about 3 months ago · $115,000 - $144,000

or apply directly on Pave's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Pave's roles stay open a median of 79 days
Reposted
No
Salary listed
Yes
72% of Pave's roles list one
Ghost-job risk at Pave
high
17 stale, 1 reposted of 18 open
Hiring momentum
27 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Pave's own greenhouse board since 2026-08-03. Full hiring picture for Pave.

About this role

As a Data Scientist at Pave, you will collaborate with the Marketing team to transform data insights into compelling narratives for various content formats, including blogs and reports. Your role will involve supporting Pave's data products through research and analysis, developing measurement frameworks, and engaging with the compensation community to answer data-related inquiries. You will also need to build a strong understanding of Pave's unique compensation dataset to effectively communicate findings to non-technical audiences.

Our read on this posting3.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Pave as an employer.

What you need

  • 2+ years of experience in a Data Analyst role, ideally in a customer-facing capacity
  • Exceptional data manipulation skills with proficiency in SQL and Python
  • Marketing mindset with experience using data for storytelling and growth
  • Strong communication skills and ability to translate complex findings into clear narratives
  • Focus on impact and prioritizing work that improves the product and business

Nice to have

  • 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

What you get

  • Comprehensive medical, dental, and vision coverage for you and your family
  • Flexible PTO and the freedom to work from anywhere for up to a month
  • Lunch and dinner stipends plus fully stocked kitchens
  • Quarterly education stipend for skill development
  • Robust parental leave
  • Commuter stipend for in-person collaboration

Worth weighing

  • No specific mention of the tech stack beyond SQL and Python
  • Role involves significant collaboration with marketing, which may not appeal to all data scientists
  • Hybrid work culture requires in-person attendance 3 to 4 days a week

Summarised from Pave's posting. Read the full original.

Listed by Pave on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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