Applied Scientist Iii - Shipper Pricing

Uber Freight

Chicago, IL, United States
Base: $124,600.00 - $151,950.00 py; bonus/equity: ...
On-site
Machine learning model development
Causal inference expertise
Python sql and spark proficiency
You will apply machine learning, causal inference, and optimization techniques to develop algorithms for real-time bidding on shipper freight

Job Summary

  • You will apply machine learning, causal inference, and optimization techniques to develop algorithms for real-time bidding on shipper freight.
  • The role involves collaborating with Product, Operations, Engineering, and other scientists to shape technical direction and deploy solutions.
  • Employees are eligible for comprehensive benefits including health plans, 401k match, equity awards, and performance incentive bonuses.

Matching Summary

You will apply machine learning, causal inference, and optimization techniques to develop algorithms for real-time bidding on shipper freight.

Salary

Base: $124,600.00 - $151,950.00 per year; Bonus/Equity: Performance bonus and equity awards available; Benefits: Health, dental, vision, 401k match, parental leave, disability, life insurance

Skills & Requirements

Must-have

  • Machine learning model development
  • Causal inference expertise
  • Python SQL and Spark proficiency
  • A/B testing design and analysis
  • Production deployment of algorithms

Nice-to-have

  • Neural network algorithm experience
  • Reinforcement learning familiarity
  • Multi-sided marketplace knowledge
  • Strategic agent behavior modeling
  • Strong cross-functional communication

Key Requirements

  • M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research
  • 3+ years of experience deploying ML models and optimization algorithms
  • Expertise in observational causal inference or statistical analysis

Work Rights

Not specified

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