The intern will work across cross-functional teams on data-driven logistics challenges at Uber Freight.
Key Responsibilities
- Collaborate with data scientists, engineers, and stakeholders to address business problems.
- Implement statistical and machine learning approaches such as causal inference, recommender systems, and time series forecasting.
- Manage projects independently from initial exploration through production deployment.
- Contribute to internal data product enhancements.
- Communicate findings to technical and non-technical audiences.
Required Qualifications
- Currently pursuing a Bachelor's, Master's, or PhD in a quantitative field with expected graduation Fall 2026 or Spring 2027.
- Programming proficiency in Python or R for model development.
- SQL competency for data manipulation.
- Understanding of statistical/ML methods including regression, classification trees, unsupervised learning, and causal inference.
- Strong problem-solving abilities in ambiguous settings.
- Collaborative approach and willingness to grow in a dynamic environment.
Note: No immigration sponsorship or transfer is available for this role.