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Calibration Process Data Science Intern (8 months/40 hours per week)

Bosch Group

Farmington Hills, MIInternshipPosted 1mo agoStill listed 6 days ago

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At a glance

Compensation
No compensation found
Location
Farmington Hills, MI
Role Type
Internship
Schedule
Internship
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Bosch seeks a Data Science Intern for an eight‑month, full‑time project at its Calibration Engineering group in Farmington Hills, Michigan, offering hands‑on experience with automotive powertrain data, machine learning, and advanced analytics while collaborating with engineers and stakeholders.

Skills & qualifications

RequiredNice to have

Skills

PythonArtificial IntelligenceMachine LearningSoftware LanguagesOperating Systems

Qualifications

Bachelor's or Masters in EngineeringGPA 3.0+Must Be 18+Work 35-40 Hours Per Week

Benefits

Medical Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

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.

Come Join us in Farmington Hills, MI and learn how we work #LikeABosch! 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

Job Description

The internship will be from either January - August 2027, or May - December 2027. 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!

Qualifications

  • Must be currently enrolled in an accredited university and pursuing a Bachelors or Masters degree in Engineering, with at least one semester completed
  • Very good Python skills
  • Has experience with Artificial Intelligence and Machine Learning algorithms (work or academic)
  • 1+ year academic or industry experience with software languages and operating systems.
  • A minimum 3.0 GPA
  • Must be a minimum of 18 years of age
  • Must work 35-40 hours per week

Preferred Qualifications

  • Automotive-related hobby and/or experience working with engines or vehicles.
  • Projects in automotive field
  • Other programming languages

Additional Information

Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable. Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. 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.

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