Data Science Intern (Year-Round)
BorgWarnerAbout the role
Position
Data Science Intern – Corporate Advanced Engineering
Location
Auburn Hills, MI
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
As part of the Chief Technology Officer organization, the Corporate Advanced Technology Development team is dedicated to developing and demonstrating advanced mobility technologies, focusing on new growth areas with longer time horizons. We develop system-oriented solutions that shape the future of mobility through collaborations with other functional areas and business units at BorgWarner.
We are seeking a highly motivated Data Science Intern to join our team. In this role, you will support the development and deployment of AI/ML solutions for proof-of-concept projects that can inform the development of future BorgWarner products.
This is a hybrid role based at BorgWarner’s Propulsion Technology Center (PTC) in Auburn Hills, MI that provides an opportunity to work with cutting-edge technologies and play a key role in shaping the future of sustainable mobility. If you are highly motivated, a self-starter, and passionate about innovation, we encourage you to apply.
Key responsibilities
Collaborate closely with engineering teams to understand challenges and requirements and provide data-driven solutions.
Support machine learning model development: data preparation, feature engineering, model optimization and data visualization.
Assist in model deployment, testing, and analysis of resulting performance data.
Prepare comprehensive model documentation and share findings within the organization.
Assist in data collection using fleet vehicles.
This position requires Interns to be on-site 3 days a week.
What we’re looking for
Currently pursuing a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. Enrolment in a graduate program (Master's or Ph.D.) in a relevant field is
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