Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch

• Reinvent yourself: At Bosch, you will evolve.
• Discover new directions: At Bosch, you will find your place.
• Balance your life: At Bosch, your job matches your lifestyle.
• Celebrate success: At Bosch, we celebrate you.
• Be yourself: At Bosch, we value values.
• Shape tomorrow: At Bosch, you change lives.

Job Description

This internship takes place in Farmington Hills, Michigan, the headquarters of Bosch North America, in the Calibration Engineering group of Power Solutions.

The successful candidate will be given an 8 -month project, that has been defined in advance by their Engineering Mentor. 

As a Data Science Intern at Bosch, you will have the opportunity to work on innovative projects and gain hands-on experience in the field of data science focused on automotive applications. You will be part of a dynamic team, supporting experienced data scientists and engineers to solve real-world automotive powertrain problems using advanced analytics and machine learning techniques. Your responsibilities may include:

• Data Exploration and Analysis: Collect, clean, and analyze large and complex datasets to identify patterns, trends, and insights. Apply statistical methods and data visualization techniques to communicate findings effectively.
• Machine Learning Development: Develop and implement machine learning models, algorithms, and statistical techniques to solve specific business challenges. This may involve tasks such as data preprocessing, feature engineering, model training, and evaluation.
• Predictive Modeling and Optimization: Build predictive models to forecast future outcomes and optimize business processes. Apply regression, classification, clustering, and other machine learning techniques to solve problems related to demand forecasting, anomaly detection, quality improvement, etc.
• Data Mining and Pattern Recognition: Discover meaningful patterns, correlations, and relationships in large datasets. Use techniques like association rules, clustering, and dimensionality reduction to uncover insights and generate actionable recommendations.
• Collaborative Problem-Solving: Work closely with cross-functional teams, including business stakeholders and software developers, to understand requirements and develop data-driven solutions. Collaborate effectively, share knowledge, and contribute to the overall success of the projects.
• Documentation and Reporting: Document methodologies, algorithms, and results in a clear and concise manner. Prepare reports and presentations to communicate findings and recommendations to both technical and non-technical audiences.
• Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Actively participate in training programs, workshops, and knowledge-sharing activities to enhance your skills and expertise.

If you're interested to work in a collaborative, learning culture where interns work on meaningful projects, join our team!

If you'd like to learn more about Bosch, click here:
Bosch Mobility | Let's shape a new era of mobility. Together. | Careers at Bosch USA

Bosch | Invented for Life | Careers at Bosch USA

Qualifications

Must be currently enrolled in an accredited university and pursuing a Bachelors or Masters degree in Engineering, with at least one semester completed

A minimum 3.0 GPA

Must be a minimum of 18 years of age

Eligible to work in the US without sponsorship

Must work 30-40 hours per week

Valid US driver's license

Preferred: Automotive-related hobby and/or experience working with engines or vehicles.  1+ year academic or industry experience with software languages and operating systems.

Additional Information

Sponsorship: Indefinite U.S. work authorized individuals only.  Future sponsorship for work authorization unavailable.

EEO/OFCCP: Bosch is an equal opportunity employer and makes all employment decisions on the basis of merit. Bosch is fully committed to compliance with all applicable laws providing equal employment opportunities and to providing equal employment opportunity to all associates and applicants for employment without regard to race, gender, sex, pregnancy, childbirth (or related medical conditions, including but not limited to, lactation), national origin or ancestry, religion, gender identity, sexual orientation, age, disability, veteran status, genetic information or any other characteristic protected by law.

This equal employment opportunity policy applies to all terms and conditions and aspects of employment including, but not limited to, recruitment, hiring, retention, training, placement, promotion, advancement, transfers, job assignments, layoffs, leaves of absence, termination, and compensation. Our management team is dedicated to this policy with respect to all aspects of employment.

Bosch is dedicated to maintaining compliance with all federal, state, and local law, including but not limited to, affirmative action plan requirements, EEO-1 and VETS-4212 reporting, and I9 / work authorization guidance.

*Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date