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← Pave

Data Scientist

Pave
Location
San Francisco, California, United States
Posted
2 months ago
Department
Data
Salary
$115,000 - $144,000
What they actually want (must-haves)
  • 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 the job really is

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
  • 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
Things to weigh
  • 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
Job score3.4/5
Benefits3/5
Freshness1/5
Career value4/5
Role clarity4/5
Pay transparency5/5

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