[Remote] Senior Applied Scientist - Shipper Pricing

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

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