Data Science Intern at Brunswick in Champaign, IL

Job description

Are you ready for what’s next? Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes “Next Never Rests™,” and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation. Location: Champaign, IL (BI Design Lab) Workplace Category: Hybrid Travel Required: None Pay Range: $18.00-$26.00 Visa Sponsorship: Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future. Relocation: Innovation is the heart of Brunswick. See how your contributions will help transform vision into reality: Position Overview : As part of the talented team, we are seeking a curious, versatile, and hands-on Data Science Intern who is comfortable contributing to different types of projects as organizational priorities evolve. Working with teams across Brunswick’s divisions and functions, the intern will combine scientific thinking with practical engineering to turn open-ended questions into structured analyses, experiments, and working prototypes. Projects may involve product, application, operational, telemetry, or other business data, with an emphasis on understanding data quality, extracting useful information, and designing efficient approaches for collecting, processing, and using data. The ideal candidate can learn unfamiliar domains quickly, evaluate technical trade-offs, write reliable code, and clearly communicate findings, limitations, and recommendations. At Brunswick, we have passion for our work and a distinct ability to deliver. Essential Functions : Contribute to a variety of data science, analytics, research, and engineering projects based on evolving product and business needs. Translate ambiguous questions into measurable objectives, testable hypotheses, experiments, and practical implementation plans. Collect, clean, join, validate, and explore data from connected products, applications, cloud platforms, and operational systems. Analyze structured, unstructured, time-series, telemetry, usage, and sensor data to identify patterns, anomalies, trends, and opportunities. Develop reusable scripts, data-processing workflows, simulations, and prototypes that move an idea from analysis toward a working technical solution. Design experiments to compare alternative approaches and quantify trade-offs involving data fidelity, accuracy, performance, cost, storage, bandwidth, latency, and maintainability. Explore efficient methods for collecting and processing high-volume or resource-intensive data, including sampling, aggregation, filtering, compression, feature extraction, or event-driven approaches. Apply appropriate statistical, signal-processing, analytical, or machine-learning methods while considering the constraints of the systems in which they may be used. Partner with product, software, engineering, operations, and business teams across multiple divisions to develop useful and achievable deliverables. Test, document, and communicate datasets, code, assumptions, experimental results, limitations, and recommendations so others can reproduce and extend the work. Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way. Required Qualifications: To be considered for the internship, candidates must be authorized to work in the United States immediately, without the need for sponsorship, now or in the future. Currently enrolled in a bachelor’s or master’s program at the University of Illinois-Urbana Champaign in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or related fields. Demonstrated experience using Python for data analysis, experimentation, or prototyping, including tools such a