General Motors · 16 hours ago
Chassis Systems Data & Analytics Engineer
Milford, MI
Full-time
Hybrid
Senior Level
5+ years expGeneral Motors is seeking a Chassis Systems Data & Analytics Engineer to leverage data for enhancing vehicle performance. The role involves designing and developing data pipelines, analyzing data from various sources, and implementing cloud-based analytics solutions to support chassis system performance and reliability.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
No H1B
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
2026-02-08
2026-02-07
2026-02-07
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