Data Science Intern; Year-Round

Position: Data Science Intern (Year-Round)
Position

Data Science Intern - Corporate Advanced Engineering

Location

Auburn Hills, MI

About us

Borg Warner 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 Borg Warner 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. Borg Warner 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 Borg Warner 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 Borg Warner.

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 Borg Warner products.

This is a hybrid role based at Borg Warner'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 in Auburn Hills, MI.

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 a plus.

* Must be able to report onsite three days a week.

* Demonstrated coursework or projects involving data analysis, machine learning, and statistical modelling.

* Proficiency in programming languages such as Python (preferred) or MATLAB.

* Familiarity with machine learning libraries (e.g., scikit-learn, Tensor Flow, PyTorch).

* Experience with data science tools and platforms (e.g., Jupyter Notebooks).

* Strong verbal and written communication skills, including the ability to effectively present findings and insights to non-technical stakeholders.

* Eagerness to learn and adapt to new tools, technologies, and methodologies in the rapidly evolving field of data science.

What we believe

* Inclusion-We value diversity in people, ideas, and experiences.

* Integrity
- We believe in transparency, authenticity, and depend on each other to deliver what we promise.

* Excellence
- We contribute to our developments by seeking knowledge and sharing information.

* Responsibility
- We care about our local communities and the global environment.

* Collaboration
- We are one Borg Warner.

Safety

This position will adhere to Global Star Safety Program, including safety rules, practices and training as outlined in the Borg Warner PTC Safety Policy Manual, which includes the use of equipment, protective devices, or clothing that the employer requires. This individual will work in manners that stress the importance of preventing accidents and illnesses. He/she must take every precaution reasonable in the given circumstance for the protection of themselves and coworkers.

In addition, he/she is responsible for reporting all injuries and/or possible dangerous situations, incidents, or occurrences to the immediate supervisor.

Equal Employment Opportunity

Borg Warner is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status.

Visa Sponsorship

Borg Warner does provide sponsorship for…