at Uber Freight US LLC in Chicago, Illinois, United States
Job Description
Schedule: FTJob Type: Hybrid/On-site
Salary Type: Hourly
Req #: 1937
About the Role
Uber Freight is transforming logistics through technology, connecting shippers and carriers with smarter, faster, and more efficient solutions. Our Data Science team plays a critical role in shaping product strategy, improving operational efficiency, and driving customer success through data-driven insights and innovation.
We're looking for a Data Science Intern to join our team for Summer 2026. This internship offers a unique opportunity to work on impactful projects that leverage advanced statistical modeling, machine learning, and causal inference to solve real-world logistics challenges. You'll collaborate with cross-functional teams and contribute to the development of data products and insights that power Uber Freight's platform.
What the Candidate Will Do
- Collaborate with Data Scientists, Engineers, and internal stakeholders (Product, Engineering, Sales, Marketing, Finance, and Customer Success) to solve business problems using data.
- Apply statistical and machine learning techniques such as causal inference, recommender systems, and time series forecasting to generate insights or deploy models.
- Manage your own project end-to-end-from data exploration and analysis to presenting findings and/or deploying algorithms in a production environment.
- Contribute to internal data product improvements.
- Communicate results and recommendations clearly to technical and non-technical audiences.
- Currently pursuing a Bachelors, Master's, or PhD degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Physics, Economics, Operations Research, or Engineering).
- Expected graduation in Fall 2026 or Spring 2027.
- Demonstrated proficiency in programming languages like Python or R for purposes of model development and analysis
- Proficiency in SQL for data manipulation and analysis
- Familiarity with statistical and machine learning methods such as regression, classification trees, unsupervised learning, causal inference, and time series analysis.
- Strong problem-solving skills and ability to work in ambiguous environments.
- Collaborative mindset and eagerness to learn in a fast-paced, team-oriented setting.
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.
For Illinois based roles: The salary range for this role is $30/hour.
About Uber Freight
Uber Freight is a market-leading enterprise technology company powering intelligent logistics. With a suite of end-to-end logistics applications, managed services and an expansive carrier network, Uber Freight advances supply chains and moves the world's goods. Today, the company manages nearly $20B of freight and one of the largest networks of carriers. It is backed by best-in-class investors and provides services for 1 in 3 Fortune 500 companies, including Del Monte Foods, Nestle, Anheuser-Busch InBev, and more. For more, visit 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.
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