[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.

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

• M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background
• 3+ 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
• 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
• 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

Benefits

• Employees 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 Overview

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