As an independent group of companies, the BMW Group has a commitment to creativity and breakthrough ideas that goes well beyond the racetrack. In order to continuously create ultimate driving machines, we drive our growth and design excellence by staffing our teams with individuals who are innovative and always looking for the next great idea. If you share our vision and view yourself as an independent, creative thinker, we invite you to join our team in this exceptional role located in Woodcliff Lake, NJ

　　This is a full-time internship position for our Spring Rotation, expected to start around January 8, 2024 through May 31, 2024 in Woodcliff Lake, NJ.

　　The intern 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.

　　Key Responsibilities:

　　Analysis of customer fleet data to identify new issues, refine requirements or improve test planningUse of data analytics tools and methods to identify and define US customer focused test cases and US market specific requirementsUse 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 validationCommunication 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

　　Join the BMW North America team and enjoy a high-performance Total Rewards package that may include:

　　Medical InsuranceAll with options for $0 Employee contributionPaid Time Off in addition to Company paid holidays where eligibleHybrid work environment

　　The hourly rate for Undergraduate students is $27.50.

　　The hourly rate for Graduate students is $31.25.

　　The selected student's academic level will be used to determine the final pay rate. This statement is in accordance with state and local pay disclosure requirements.

　　Even more so than the generous compensation and benefits, the culture and values of the BMW Group make it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

　　At BMW, we are driven by diversity, equity, and inclusion. We are proud to be an Equal Opportunity Employer and are welcoming of all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

　　Qualifications:

　　Requirements:

　　Currently enrolled in a bachelor or master's degree program at an accredited college or universityPossess a minimum cumulative GPA of 3.0 (not just in major)Have completed at least 30 college credit hours at time of applicationField of study: Major in Computer Science, Computer Engineering, Information Technology, Data Analytics and/or Engineering.Additional skills: Amazon-AWS experiencePrior BMW Group experience (applicable to international students only)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/HIVErelational databasesExperience with statistical data analysis such as linear models and time series forecastingKnowledge of automotive engineering and advanced driver assistance systems (ADAS)Must attach a copy of college unofficial transcriptAbility to work full-time (36.25 hours/week)Excellent time-management skills; ability to prioritize and handle multiple tasks simultaneouslyAbility to manage sensitive and confidential informationExcellent organizational and planning skillsSelf-motivated, adaptable to a dynamic environmentAble to work both independently and as part of a teamStrong analytical capabilities

　　Preferences:

　　Prior internship and/or relevant work experiencePrevious work experience within BMW or the automotive industry in the field of data science/testing & validationLanguages: English, German (fluent, oral and written)