Applied Scientist III - Shipper Pricing
About The Position
As an Applied Scientist III on the Shipper Pricing team, you will apply machine learning, causal inference, and optimization techniques to develop and improve Uber Freight’s algorithms for real-time bidding on shipper freight. The role has a direct impact on key business metrics and works closely with senior individual contributors to shape the technical direction of the area. You will collaborate daily with Product, Operations, Engineering, and other scientists. The position involves developing algorithms that balance gross and net revenue when bidding on shipper freight across settings such as open auctions, sealed auctions, and reverse waterfall auctions. You will prototype and evaluate solutions through statistical analysis and simulation, then partner with engineering teams to deploy, experimentally evaluate, and productionize them. You will use data to assess product performance and identify improvement opportunities, establish data science methodologies, communicate findings, and recommend product ideas and feature launches. The role is full-time and hybrid. For Chicago-based roles, the annual salary range is $124,600 to $151,950. Benefits and compensation for eligible U.S. employees may include company-sponsored health coverage, dental and vision benefits, a 401(k) match, financial and mental wellness benefits, parental leave, disability coverage, life insurance, incentive bonuses, and Uber Freight equity awards, depending on role and eligibility.
Requirements
- Master’s or bachelor’s degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background.
- At least 3 years of experience developing and deploying machine learning models and optimization algorithms in production environments.
- Proficiency in designing, launching, and analyzing A/B tests or other online experiments.
- Expertise in observational causal inference or statistical analysis.
- Proficiency in Python, SQL, and Spark.
Nice To Haves
- Experience developing neural network algorithms.
- Experience developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior.
- Track record of translating ambiguous business problems into technical solutions.
- Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners.
- Familiarity with reinforcement learning and causal machine learning.
Responsibilities
- Develop algorithms to optimally trade off gross revenue and net revenue when bidding on shipper freight in real time across different auction settings.
- Prototype and evaluate solutions using statistical analysis and simulation.
- Collaborate with engineering teams to deploy, experimentally evaluate, and productionize solutions.
- Analyze data to understand product performance and identify improvement opportunities, including 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 support product ideation and feature launch decisions.
Benefits
- Company-sponsored health plan for eligible U.S. employees working more than 30 hours per week.
- Dental and vision benefits for eligible U.S. employees working more than 30 hours per week.
- 401(k) match for eligible U.S. employees working more than 30 hours per week.
- Financial and mental wellness benefits.
- Parental leave.
- Short- and long-term disability coverage.
- Life insurance.
- Potential eligibility for a performance or sales incentive bonus program.
- Potential participation in Uber Freight equity awards.
- Other compensation may be available depending on the role.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
