What are the responsibilities and job description for the Data Scientist III - Carrier Pricing position at Uber Freight?
Schedule: Full Time Employment
Job Type: Hybrid
Salary Type: Salary
Req #: 2138
About The Role
We are seeking an exceptionally passionate person to join our Marketplace Data Science team. As a Data Scientist focused on Carrier Pricing, you will be driving the evaluation and development of the dynamic pricing and bidding products carriers use to interact with Uber Freight’s digital marketplace. 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
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
Job Type: Hybrid
Salary Type: Salary
Req #: 2138
About The Role
We are seeking an exceptionally passionate person to join our Marketplace Data Science team. As a Data Scientist focused on Carrier Pricing, you will be driving the evaluation and development of the dynamic pricing and bidding products carriers use to interact with Uber Freight’s digital marketplace. 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 carrier 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 service 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
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or related field
- 3 years of related experience
- Experience with SQL, Python
- 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
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
Salary : $99,000 - $151,000