Senior Applied Scientist - Shipper Pricing

Uber Freight

San Francisco, CA, United States
Base: $183,000.00 - $223,200.00 py; bonus/equity: ...
On-site
Machine learning model development
Causal inference expertise
Optimization algorithm design
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 requires collaborating with Product, Operations, Engineering, and other scientists to deploy and productionize 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: $183,000.00 - $223,200.00 per year; Bonus/Equity: Performance incentive bonus program 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
  • Optimization algorithm design
  • Python SQL Spark proficiency
  • Production ML deployment experience

Nice-to-have

  • Neural network algorithm development
  • Reinforcement learning knowledge
  • Multi-sided marketplace experience
  • Strategic agent behavior modeling
  • Cross-functional project leadership

Key Requirements

  • Ph.D. or M.S. in Computer Science, Machine Learning, or Operations Research
  • 4+ years of experience deploying ML models and optimization algorithms
  • Experience designing and analyzing experiments for production ML models

Work Rights

Not specified

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