Data Science Intern (Summer)
Position
Data Science Intern – Corporate IT, Intern
Location
Auburn Hills, Michigan
About us
BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions for the vehicle market. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work, and amazing technology in a unique environment. At BorgWarner we constantly work towards our vision of a clean and energy-efficient world.
Our Culture
We believe health and safety of our employees are a top priority, we care about our local communities and the global environment. BorgWarner promotes and nurtures a diverse and inclusive environment, honors integrity, strives for excellence, commits to responsibility for our communities and the environment, and builds on the power of collaboration.
Career Opportunities
We manage talent as seriously as we manage our businesses and encourage you to learn about our proud history, strong culture, technologies and future vision. We offer a strong local presence and interesting global opportunities. Start your future with BorgWarner now!
Job purpose
This role serves as a translator between data scientists and the global BorgWarner business units. Although some modeling/coding may be involved, the role is primarily focused on identifying business problems that are good candidates for data science solutions, translating those needs into specifications, and communicating those specifications to consulting partners. The ideal candidate for this role will therefore be fluent in both the language of data science and the language of business.
Key responsibilities
Help business units understand when machine learning/predictive models are an applicable solution to their problems, both in one-on-one meetings and in company-wide communications
Conversely, help identify projects that are NOT good candidates for machine learning and propose alternative solutions
Gather business requirements and translate those into specifications/RFP’s
Work with vendors to manage data science projects and ensure on-time/on-budget delivery
Ensure support models are in place to sustain projects over the long term
Perform rapid prototyping and experimentation to ascertain whether certain projects are worth moving forward
Manage end-to-end deployment of AI projects from requirements gathering through vendor selection and delivery.
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