Applied Scientist III - Shipper PricingNew$500K–$182K
The opportunity
As an Applied Scientist III 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. You will have a direct impact on Uber Freight’s key…
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.
- M.S. or Bachelor's degree in Computer Science, Machine Learning, or: Operations Research, or equivalent technical background
- + years of experience in developing and deploying machine learning models and: optimization algorithms in production environments
- Proficiency in designing, launching, and analyzing A/B tests or other types of online experiments
