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. You will have a direct impact on Uber Freight’s key business metrics and the opportunity to heavily influence technical direction for this area. You will collaborate closely with Product, Operations, Engineering, and other scientists in the department on a daily basis.

What the Candidate Will 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.

Provide recommendations to assist quick product ideation and feature launch decisions.

Senior Applied Scientist - Shipper Pricing

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Uberfreight

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