Senior Data Scientist
Posted on 1/31/2023
INACTIVE
Locations
San Francisco, CA, USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
R
SQL
Python
Requirements
  • Have a Bachelors or other advanced degree in a quantitative discipline: statistics, operations research or social science, computer science, engineering, mathematics, economics, etc
  • 4+ years of experience in a Data Science role, preferably at a technology company
  • Exceptional data manipulation skills with a proficiency in SQL
  • Proficiency in statistical modeling with R or Python
  • Strong analytical problem solving skills. The ability to translate qualitative business questions into quantitative solutions
  • Strong ability to communicate technical outcomes to cross-functional audiences
  • Ability to navigate (and bring structure to) ambiguity; ability to bring a problem from 0 to 1
Desired Qualifications
  • Experience designing and evaluating ML models
  • Experience with data transformations using dbt
  • Experience building customer-facing data products
  • Experience working with product managers, engineers, and/or designers
Pave

51-200 employees

Real-time employee compensation platform
Company Overview
Pave's mission is to build the world's best compensation tools and easily accessible market data so companies can plan, communicate, and benchmark in real-time. The company has created a suite of tools to benchmark compensation of leaders in industry, analyze internal compensation data, then visually communicate compensation to employees.
Benefits
  • Competitive salary
  • Equity
  • Medical, dental & vision coverage
  • Commuter benefits
  • Catered lunch
  • Unlimited PTO policy
Company Core Values
  • 💡Be Intellectually Honest
  • ☀️ Be Transparent
  • 🔥 Bring Your Fire
  • ⏰ Focus On Impact
  • 🤗 Hug Of Jawn
  • 💪 Stretch The Rubber Band