[Remote] Applied Scientist III - Shipper Pricing

Note: The job is a remote job and is open to candidates in USA. Uber Freight is dedicated to enhancing the reliability and efficiency of goods transportation. As an Applied Scientist III on the Shipper Pricing team, you will leverage machine learning and optimization techniques to refine bidding algorithms, impacting key business metrics and collaborating with various teams to drive product performance improvements.ResponsibilitiesDevelop 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, etcPrototype and evaluate solutions using statistical analysis and simulationCollaborate with engineering teams to deploy, experimentally evaluate, and productionize these solutionsLeverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factorsEstablish standard methodologies for data science, including modeling, coding, analytics, and experimentationCommunicate findings and insights to senior management and cross-functional teamsProvide recommendations to assist quick product ideation and feature launch decisionsSkillsM.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background3+ years of experience in developing and deploying machine learning models and optimization algorithms in production environmentsProficiency in designing, launching, and analyzing A/B tests or other types of online experimentsExpertise in observational causal inference or statistical analysisProficiency in Python, SQL and SparkExperience developing NN algorithmsExperience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behaviorTrack record of translating ambiguous business problems into technical solutionsExcellent communication skills to lead initiatives and collaborate effectively with cross-functional partnersFamiliarity with reinforcement learning and causal machine learningBenefitsEmployees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more.US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.Company OverviewUber Freight is the logistics arm of Uber that helps truck drivers connect with shipping companies. It is a sub-organization of Uber. It was founded in 2017, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.uberfreight.com.Company H1B SponsorshipUber Freight has a track record of offering H1B sponsorships, with 2 in 2026, 78 in 2025, 33 in 2024, 103 in 2023, 9 in 2022. Please note that this does not guarantee sponsorship for this specific role.