Applied Scientist Iii - Shipper Pricing

Uberfreight

San Francisco, CA, United States
Base: $149,500.00 - $182,350.00 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 involves collaborating with Product, Operations, Engineering, and other scientists to shape technical direction and deploy solutions.
  • US-based employees are eligible for a comprehensive benefits package including health plans, 401k match, and potential equity awards.

Matching Summary

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

Salary

Base: $149,500.00 - $182,350.00 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
  • A/B testing and experimentation
  • Python SQL and Spark proficiency

Nice-to-have

  • Neural network algorithm experience
  • Reinforcement learning familiarity
  • Multi-sided marketplace knowledge
  • Strategic agent behavior modeling
  • Ambiguous problem translation skills

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 in production
  • Expertise in observational causal inference or statistical analysis

Work Rights

Not specified

Tailored Resume

Cover Letter