Chassis Systems Data & Analytics Engineer

General Motors•Milford, MI

1d•Hybrid

About The Position

Remote or Hybrid: Are you passionate about leveraging data to drive innovation in vehicle performance? As a Chassis Systems Data & Analytics Engineer, 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.

Requirements

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.

Nice To Haves

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.

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.