Data Scientist III - Spot Pricing

Responsibilities

The Data Scientist will develop and evaluate real-time spot pricing algorithms for a digital freight marketplace. They will collaborate with cross-functional teams to design experiments and analyze marketplace trends to drive system development.

Requirements

Candidates must have a bachelor's degree in a quantitative field and at least 3 years of relevant experience. Proficiency in SQL and Python is required, with preference given to those with experience in Spark and causal inference.

Skills

• Data Science
• Spot Pricing
• SQL
• Python
• Statistical Analysis
• A/B Testing
• Marketplace Experiments
• Causal Inference
• Spark
• Airflow
• Experimental Design
• Pricing Algorithms
• Data Analysis
• Presentation Skills
• Productization

Benefits

• Health plan
• Dental benefits
• Vision benefits
• 401k match
• Financial wellness benefits
• Mental wellness benefits
• Parental leave
• Short-term disability coverage
• Long-term disability coverage
• Life insurance
• Performance bonus
• Sales incentive bonus
• Equity awards

About this role

Schedule: Full Time
Job Type: Hybrid
Salary Type: Salary
Req #: 2925
No immigration sponsorship or transfer available for this role.
About the Role
We are seeking an exceptionally passionate person to join our Marketplace Data Science team. As a Data Scientist focused on Spot Pricing, you will be driving the evaluation and development of the real-time pricing engine we use to bid on spot freight put up for auction by shippers. You will need to collaborate effectively with product managers, engineers, operations, business stakeholders, and other members of the Data Science team to solve problems, create efficiencies, and successfully deliver against high organizational standards.
What the Candidate Will Do
Perform analysis to understand emerging trends in the digital marketplace
Perform statistical analysis to estimate the impact of changes to our spot pricing algorithms before deployment
Design, execute and analyze A/B and marketplace experiments to directly measure the business impact of changes to our pricing algorithms on both financial and operational metrics
Work efficiently at scale with large data sets
Collaborate with cross-functional teams such as product, engineering, and operations to drive system development end-to-end from conceptualization to productization
Basic Qualifications
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or related field
3 years of related experience
Experience with SQL, Python
Preferred Qualifications
Masters with 3 years of experience or Bachelors with 5 years of relevant experience
Experience with orchestration tools (e.g., Airflow)
Experience with Spark
Advanced knowledge of experimental design and non experimental causal inference techniques
Strong presentation skills
Experience working in a digital marketplace and/or dynamic pricing domain
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
Uber Freight helps companies move goods more reliably and efficiently. We bring together the 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. Learn more at www.uberfreight.com.
Candidate Privacy Notice
Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.
EEOC
Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards 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.
For Chicago-based roles: The salary range for this role is $99,000.00 - $151,000.00 per year

About Uber Freight

Transportation, Logistics, Supply Chain and Storage · 5,001-10,000 employees · headquartered in Chicago, Illinois