Responsibilities
- Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling, and visualization.
- Develop models to build solutions for real‑world business problems.
- Interact with product and service teams to identify questions and issues for data analysis and experiments.
- Communicate analysis findings to product, service, and business managers.
Qualifications
- Must be a U.S. citizen.
- Completed the second year of an undergraduate degree in computer science, computer engineering, electrical engineering, or a related area of study.
- Strong academic achievement and interest in the technical area of study.
- Will be enrolled in a Bachelor’s, Master’s, or Ph.D. degree program in an applied business or quantitative field such as statistics, operations research, applied mathematics, computer science, economics, or business analytics during the 2024‑2025 school year.
- Have completed at least your junior year toward your undergraduate degree, or higher, by summer 2024.
- Have academic coursework, projects, internships, and/or research experience with tools needed for statistical data analysis, including proficiency in at least one of the following programming languages and libraries: NumPy, SciPy, Matplotlib, scikit‑learn, TensorFlow, PyTorch, and Spark.
- Attend a university in the United States and be authorized to work in the U.S. in 2024.
- No visa sponsorship available.
- Must be enrolled in a university prior to and following the internship completion.
On top of your project supervisor, you’ll be assigned a peer mentor—a recent hire who can help you navigate the internship experience. You’ll also be paired with intern buddies to ensure 360‑degree support and engagement.
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