General Motors LLC

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Job Description The Role: Are you passionate about leveraging data to drive innovation in vehicle performance? As a Data Analytics Engineer - Vehicle Chassis Systems, you will play a key role in transforming how big data is utilized to enhance chassis system performance and reliability. In this role, you will design and develop advanced data pipelines for chassis systems including brakes, steering, and suspension. This will include analyzing data from the vehicle, manufacturing plants, warranty, and finance systems to look for valuable insights. You will implement cloud-based analytics solutions and enable predictive insights for these critical chassis systems and their components. This position is integral to supporting the rapid evolution of connected, hybrid, and electric vehicles, aligning with GM’s commitment to cutting-edge technology and safety. In this role you must have a passion for data-driven results and a desire to become an integral part of our exciting new corporate vision: Zero Crashes, Zero Emissions, and Zero Congestion. The employee is expected to be in person at GM Milford, 3 days per week if within 50 Miles. Remote candidates also considered. What You'll Do: Design, build and maintain critical visuals (PowerBI or Tableau dashboards, reports, etc.) for chassis sub-systems (brakes, steering, and suspension). Establish data-architecture (for gold and platinum layers) in this chassis space. Work with IT to source appropriate data-sets. Design, build and maintain scalable data pipelines to process data. Build data quality monitoring processes to detect and resolve data anomalies. Collaborate with chassis hardware and software designers, developers, and quality engineers to establish the best metrics to track and predict performance. Collaborate with data scientists to build engineered features and data pipelines for prognostic and diagnostic algorithms. Implement and oversee data governance policies to ensure data integrity, security, and compliance. Ensure issues observed in your analysis are chased to closure by organizing meetings, creating issue reports, and reporting out to management. Change-manage your digital products and their associated requirements. Actively participate in analytics forums and cross-functional groups, sharing knowledge and insights within and beyond the chassis engineering domain. Your Skills & Abilities (Required Qualifications): Bachelor of Science degree in Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics. 5+ years of experience utilizing data analysis methods and success solving complex problems. 2+ years of experience of working with vehicle telematics data. Proficiency using relevant programming languages: Python, SQL, Scala, & R. Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI. Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows. Real-world experience using Databricks platform. Capable of converting ambiguous problem statements into concrete project requirements. Passion for data driven results and customer initiatives. What Can Give You a Competitive Edge (Preferred Qualifications): Master’s in Computer Science, Electrical Engineering, Data Analytics, or Statistics. 8+ years of experience utilizing data analysis methods and success solving complex problems. Chassis sub-system understanding (i.e. braking, steering, or suspension systems). Familiarity with GM’s data and analytics architecture and principles. Proficiency/Certifications using relevant advanced/new programming languages:, Julia. Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github. Proficiency/Certifications using relevant ML and AI tools: TensorFlow, Keras, PyTorch, Keras, Scikit-learn, Retrieval-Augmented Generation (RAG). Familiarity with data sharing agreements and privacy impact assessments. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. 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