Data Science Summer Intern (May-August)
About The Position
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. 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.
Requirements
- Current full-time enrollment in an accredited college, university, vocational/trade school.
- Ability to report onsite at least three days to our Auburn Hills Campus
- Currently working towards a bachelor’s degree in data science or analytics, or a bachelor’s degree in business with a relevant certification in analytics, data science, or artificial intelligence.
- Fluent in English, written and verbal.
- Ability to create constructive relationships, influence, and communicate to multiple stakeholders, including client management, IT management and non-technical staff
- Self-Manages: Demonstrates ability to work autonomously towards a goal
- Excellent communication and presentation skills (both written and oral)
Nice To Haves
- Experience in manufacturing and familiarity with concepts like Overall Equipment Effectiveness.
- Experience with Python, Azure Data Factory, and Snowflake
- Experience with business cases and ROI
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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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
