This is an internship position for a Spring Rotation, expected to start around January 3, 2022 through mid-May 2022 in Woodcliff Lake, NJ.

You will support the US Automated Driving Team to perform function-regression and usage studies by analyzing large scale engineering and customer fleet data sets. The goal is to retrieve actionable insights for enhancing the BMW automated driving experience while minimizing testing and validation costs. You will help us to build the software tools and pipelines needed to maximize the leverage of these insights across different parts of our team.

The process of performing data analysis will include:

• Analysis of customer fleet data to identify new issues, refine requirements or improve test planning
• Use of data analytics tools and methods to identify and define US customer focused test cases and US market specific requirements
• Use of large-scale data platforms such as e.g. Amazon Web Services (AWS) to monitor the implementation of these requirements into targeted functions and systems by use of data driven validation
• Communication of US specific requirements and data insights to functional owners at the BMW AG headquarters in Munich, Germany.
• Participation in validation test drives to align data-based findings with real world vehicle use cases

By contributing to this process at any stage and in any technical field, you will experience a highly dynamic and interesting work environment.

Eligible Benefits

• Competitive Salary
• Health Benefits
• PTO and Paid Holidays
• Corporate Social Responsibility: Volunteer Time

The Student Programs at BMW of North America is committed to attracting and developing diverse and top talented Ultimate Driving teams! Our hands-on student programs are designed to provide college students the opportunity to work with industry leaders, gain valuable work and life experiences through inspiring tasks, and share in our commitment to directly impact the future of mobility. From day one, you will be part of the team and encouraged to bring your passion for innovation and creativity.

• Currently enrolled in a bachelor or master’s degree program at an accredited college or university
• Field of Study: Major in Computer Science, Computer Engineering, Information Technology, Data Analytics and/or Engineering
• Have completed at least 30 college credit hours at time of application (Must attach a copy of college unofficial transcript)
• Possess a minimum cumulative GPA of 3.0 (not just in major)
• Prior internship and/or relevant work experience
• Availability to work full-time for 5 months

Preferences

• Requirements: Strong programming skills with a solid foundation in data structures and algorithms. Proficiency in Python and pydata stack (pandas, pyspark, scikit-learn). Proficiency in SQL/HIVE relational databases. Experience with statistical data analysis such as linear models and time series forecasting. Knowledge of automotive engineering and advanced driver assistance systems (ADAS).
• Additional skills: Amazon-AWS experience.
• Attributes: Motivated, conscientious, responsible. Able to work both independently and as part of a team. Strong analytical capabilities. 
• Previous work experience within BMW or the automotive industry in the field of data science / testing & validation.
• Languages: English, German (fluent, oral and written)

BMW NA is an EEO employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.