AI/ML Data Scientist, GPSSC

General Motors

AI/ML Data Scientist developing machine learning, generative AI, and Agentic AI solutions for General Motors’ product safety analytics. Partnering with customers and ML Ops to deliver cloud-based business value.

Posted 9/2/2026full-timeWarren • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI/ML solutions, including Generative AI and Agentic AI, while leveraging statistical methods and cloud technologies to enhance business processes. Strong ability to communicate findings and recommendations effectively to stakeholders and leadership.

Highest-signal resume keywords

Machine LearningGenerative AIPythonStatistical ModelingCloud Environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceStatistical ModelingFeature EngineeringNatural Language ProcessingDeep LearningReinforcement LearningData PreprocessingModel MonitoringData Pipelines

Soft Skills

Excellent CommunicationCollaborationProblem-Solving MindsetProactive AttitudeStorytelling Skills

Tools & Technologies

PythonRJavaPySparkPyTorchTensorFlowSQLDatabricksMicrosoft AzureMLflow

Industry Keywords

AI SolutionsML OpsLarge Language ModelsGenerative AI SolutionsData EcosystemCloud Technology StackGlobal Product SafetyNLP SolutionsIncremental Business ValueBusiness Problem Statement

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformHadoopJavaKubernetesNumpyPandasPySparkPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

Work with existing business partners to identify opportunities for AI/ML solutions that enhance processes and improve team-member efficiency
Train machine learning models to solve complex business problems
Prototype AI solutions, including Generative AI
Develop Agentic AI solutions to streamline business processes
Enhance existing model solutions as business and technology evolve
Provide guidance on business problems using statistical methods
Craft ad-hoc reports sharing findings and recommendations with business partners
Build statistical models depicting company-wide trends
Test and validate datasets
Refine storytelling skills to convey ideas and results to leadership, customers, and stakeholders
Work with customers to understand challenges and needs
Work with ML Ops in a cloud environment
Develop proofs of concept for generative AI and Agentic AI solutions

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in machine learning, engineering, data science, or a related field
Experience with Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, and SQL
Experience with Large Language Models (LLMs), Generative AI, RAG, deep learning, reinforcement learning, NLP, SVM, XGBoost, Random Forest, Decision Trees, and clustering
Experience with Databricks, Hadoop, data pipelines, data preprocessing, and feature engineering
Preferred experience with Microsoft Azure, including Data Lake, Machine Learning, and Databricks
Nice to have AWS or Google Cloud Platform experience
Experience with MLflow, model monitoring and versioning, Docker, Kubernetes, GitHub, and Jira
Experience with Tableau, PowerBI, Pandas, and NumPy
Proven track record delivering AI/ML solutions to customers that achieve continued usage and drive value
Excellent communication and collaboration skills
Strong problem-solving mindset and proactive attitude toward learning and self-improvement
Preferred: deep knowledge of GM’s Data Ecosystem, GM’s Cloud Technology Stack for Data Science, and Global Product Safety’s SFI Process
Preferred: extensive NLP solutions experience from business problem statement through deployment and ongoing optimization
Preferred: expertise with LLM solutions through cloud deployment that provided significant incremental business value
Preferred: experience developing and deploying generative AI solutions into production with significant incremental business value

Benefits

Comp & perks

This job may be eligible for relocation benefits
GM benefits supporting well-being at work and at home (specific benefits available through Total Rewards resources)
Reasonable accommodations for individuals with disabilities