At Boston Scientific, the Data Science Co-op participant will play a key role in supporting cross-functional teams by leveraging data-driven insights to improve product quality, process efficiency, and business decision-making. This role offers a unique opportunity to apply data science techniques in a real-world medical device manufacturing environment, contributing to innovation and continuous improvement at Boston Scientific.
Requirements
- Must be proficient in Python
- Minimum of 3 months to 1 year of experience in applying machine learning techniques through coursework, internships, research, or project work
- Experience with data manipulation libraries (e.g., pandas, NumPy, SciPy) and visualization tools (e.g., matplotlib, seaborn, Plotly).
- Familiarity with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or similar).
- Knowledge of experimental design, statistical analysis, and hypothesis testing.
- Experience working with structured data (SQL, relational databases) and unstructured datasets.
Responsibilities
- Collect, clean, and preprocess experimental and production process data for analysis.
- Collaborate with cross-functional teams to identify high-value use cases where generative AI can accelerate process development and innovation.
- Explore applications of large language models (LLMs) and develop prompt engineering strategies for such areas as automating documentation and report drafting.
- Apply statistical methods and machine learning techniques to identify trends, correlations, and areas for process improvement.
- Develop predictive models and dashboards to support decision-making in process development.
- Collaborate with process engineers, scientists, quality teams and others to translate business and technical needs into analytical solutions.
- Document data workflows, models, and analysis results in a clear and reproducible manner.
Other
- Must graduate between December 2026 – Spring 2028
- Currently pursuing a bachelor’s or graduate level degree majoring in Data Science, Business Analytics, Computer Science or Mathematics
- Must be able to commit to the 8-month co-op program period: May 18th or May 26th – December 19th
- Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization
- Must have reliable transportation to and from the Maple Grove, MN Boston Scientific Corporate location
