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.
- 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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