General Motors · 17 hours ago
Data Scientist Technical Lead - AI/ML
Warren, Michigan, United States of America
Full-time
Hybrid
Senior Level
7+ years expGeneral Motors is redefining mobility and seeking a technical leader for their Product Safety Data Analytics team. The role involves leading AI/ML initiatives, developing machine learning solutions, and providing guidance to a team of data scientists to enhance business processes.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
No H1B
Responsibilities
Work with our existing business partners to identify opportunities for new AI/ML solutions to enhance processes and enable our team members to be more efficient
Train new machine learning models to solve complex business problems
Prototype new AI solutions, including Generative AI, to solve business problems
Develop new Agentic AI solutions to streamline business process
Provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners
Build statistical models that depict company-wide trends
Perform testing and validation of data sets
Challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes
Keeping defined structures in documentation and data and have a large toolset in statistical methodologies to tackle business problems
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
7+ years of experience in machine learning, engineering, data science, or a related field
Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering
Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform))
Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy
Proven track record providing technical leadership in AI/ML
Excellent communication and collaboration skills, with the ability to work effectively in a team environment
Strong problem-solving mindset and a proactive attitude towards learning and self-improvement
Preferred
Deep knowledge of GM's Data Ecosystem
Deep knowledge of GM's Cloud Technology Stack for Data Science
Deep knowledge of Global Product Safety's SFI Process
Masters Degree in Computer Science, Engineering, Mathematics or related field
Extensive NLP solutions from business problem statement to deployment and ongoing optimization
Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value
Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value
Experience leading a team of data scientists to exceed customer expectations
Benefits
Relocation benefits
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
2026-01-22
2026-01-22
Company data provided by crunchbase