Senior Applied Scientist - Shipper PricingNew$223K
The opportunity
As a Sr. Applied Scientist on the Shipper Pricing team, you will apply machine learning, casual inference and optimization techniques to develop and improve Uber Freight’s algorithms for real time bidding on shipper freight.
What you'll do
Develop creative algorithms for optimally trading off gross revenue and net: revenue when bidding on shipper freight in real time across a variety of settings, e.g., open auctions, sealed auctions, reverse waterfall auctions, etc.
Prototype and evaluate solutions using statistical analysis and simulation.
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these solutions.
Leverage data to understand product performance and identify improvement: opportunities, including analyzing potential causal factors.
Establish standard methodologies for data science, including modeling, coding, analytics, and experimentation.
Communicate findings and insights to senior management and cross-functional teams.
What they're looking for
- Provide recommendations to assist quick product ideation and feature launch decisions.
- Ph.D. or M.S. in Computer Science, Machine Learning, or Operations Research,: or equivalent technical background with exceptional demonstrated impact
- + years of experience in developing and deploying machine learning models and: optimization algorithms in production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
- Experience with designing, executing and analyzing experiments to measure the: impact of changes to production ML models
