Senior Applied Scientist - Shipper Pricing

Uber Freight; Chicago (IL); Hybrid; USD 152,500 - 186,000; Full time

Benefits offered by this job

Health plan

Dental and vision benefits

401(k) match

Parental leave

Disability coverage

Life insurance

Performance bonus

Job summary

A leading freight technology company is seeking a Sr. Applied Scientist to develop machine learning algorithms for real-time bidding on freight. Applicants should have a strong background in machine learning and causal inference, along with 4+ years of experience deploying models in production. The role requires collaboration with various teams and offers a salary range of $152,500.00 – $186,000.00 per year. Benefits include health plans, 401(k) matching, and performance bonuses.

Qualifications

• Ph.D. or M.S. in Computer Science, Machine Learning, Operations Research, or equivalent.
• 4+ years of experience in machine learning models and optimization algorithms.
• Experience in designing, executing, and analyzing experiments.

Responsibilities

• Develop algorithms for real-time bidding on shipper freight.
• Prototype and evaluate solutions using statistical analysis.
• Collaborate with engineering teams to deploy and evaluate solutions.

Skills

Machine Learning

Causal Inference

Optimization Techniques

Statistical Analysis

Python

SQL

Spark

Education

Ph.D. or M.S. in Computer Science or equivalent

Job description

Location

Chicago, IL 60607, United States

Employment Type

Full Time Employment, Hybrid Schedule

About the Role

As a Sr. Applied Scientist 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. Your work will directly impact key business metrics and influence technical direction for this area. You will collaborate closely with product, operations, engineering, and other scientists on a daily basis.

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.

Basic Qualifications

• Ph.D. or M.S. in Computer Science, Machine Learning, Operations Research, or equivalent technical background with exceptional demonstrated impact.
• 4+ years of experience 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 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 and deploying pricing algorithms for multi‑side 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 U.S. at Uber Freight are eligible for benefits such as a company‑sponsored health plan, dental and vision benefits, 401(k) match, financial and mental wellness benefits, parental leave, short‑ and long‑term disability coverage, life insurance and more. U.S. 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. For Chicago‑based roles, the salary range for this role is $152,500.00 – $186,000.00 per year.

About Uber Freight

Uber Freight helps companies move goods more reliably and efficiently. We bring together technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight.

Equal Employment Opportunity

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.