Senior Applied Scientist - Shipper Pricing

United Statesfull timeOn Site

senior

$183k–$223k

H1B: yes

Uberfreight Senior Applied Scientist on the Shipper Pricing team developing machine learning and optimization algorithms for real-time bidding on shipper freight. Collaborate with cross-functional teams to deploy and evaluate solutions impacting key business metrics.

Responsibilities

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.

Qualification

PhExperience with designingProficiency in PythonExperience developing NN algorithms

Required

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

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

Medical
Dental
Vision
401(k)
Equity/RSU
Parental Leave
Life Insurance
Wellness

Company

Uberfreight

View company page

10000+ employees

Transportation

Founded 2009

Source: greenhouse

Active within the past hour

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PhExperience with designingProficiency in PythonExperience developing NN algorithms

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