Note: The job is a remote job and is open to candidates in USA. Uber Freight is a company that helps organizations move goods more reliably and efficiently. They are seeking a Senior Applied Scientist to develop and improve algorithms for real-time bidding on shipper freight using machine learning and optimization techniques, collaborating with various teams to influence key business metrics.
Responsibilities
- 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
Skills
- Ph.D. or M.S. in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
- 4+ 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
- Expertise in observational causal inference or statistical analysis
- Proficiency in Python, SQL and Spark
- Experience developing NN algorithms
- Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
- Experience leading complex technical projects and influencing the scope and output of others
- Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
- Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners
- Experience in reinforcement learning and causal machine learning
Benefits
- 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
- Performance or sales incentive bonus program
- Participation in Uber Freight equity awards
Company Overview
Uber 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 Sponsorship
Uber 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.