Senior Applied Scientist - Shipper Pricing

 

About the Role

As a Sr. Applied Scientist on the Shipper Pricing team, you will apply machine learning, casual inference and optimization techniques to develop and improve Uber Freight’s algorithms for real time bidding on shipper freight.  You will have a direct impact on Uber Freight’s key business metrics and the opportunity to heavily influence technical direction for this area.  You will collaborate closely with Product, Operations, Engineering, and other scientists in the department on a daily basis.

 

What the Candidate Will Do

• 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.

 

Basic Qualifications

• 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

 

Preferred Qualifications

• 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 & Compensation for U.S. Employees

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.

About Uber Freight 

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