Job Description

The Intern will be given a 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.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• A minimum 3.0 GPA
• Must be a minimum of 18 years of age
• Must work 30-40 hours per week
• Strong programming skills in languages like Python with libraries like Pandas, NumPy, and scikit-learn. Experience with data visualization tools like Tableau or matplotlib.
• Knowledge of machine learning algorithms development and techniques
• Eligible to work in the US without sponsorship

_ 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

_ ** By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.**

BOSCH is a proud supporter of STEM (Science, Technology, Engineering &Mathematics)Initiatives_

· FIRST Robotics (For Inspiration and Recognition of Science and Technology)

· AWIM (A World InMotion)

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