Bosch USA · 1 day ago
Calibration Process Data Science Intern (8 months/40 hours per week)
Bosch USA is a leading technology and services company that focuses on innovation and connected living. They are seeking a Calibration Process Data Science Intern to work on automotive applications, gaining hands-on experience in data science while supporting experienced data scientists and engineers in solving real-world problems using advanced analytics and machine learning techniques.
EnergyRenewable EnergyStaffing Agency
Responsibilities
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
Qualification
Required
Must be currently enrolled in an accredited university and pursuing a Bachelors or Masters degree in Engineering, with at least one semester completed
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
Automotive-related hobby and/or experience working with engines or vehicles
Benefits
Premium health coverage
A 401(k) with generous matching
Resources for financial planning and goal setting
Ample paid time off
Parental leave
Comprehensive life and disability protection