Data Scientist

General Motors

. Support digital transformation and AI enablement efforts for GM Quality Connected Customer Continuous Improvement .

Posted 9/29/2026full-timeWarren • Michigan • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI/ML solutions and developing data pipelines while effectively collaborating with diverse technical teams. Proficient in data visualization and creating scalable code to enhance decision support and analytical processes.

Highest-signal resume keywords

Data Pipeline DevelopmentAI/ML Solution BuildingPython ProficiencySQL ProficiencyData Visualization with Power BI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine Learning AlgorithmsPredictive ModelingPrescriptive ModelingData PreprocessingTechnical DocumentationAnalytical Dataset CreationData StorytellingStatistical AnalysisQuantitative Research

Soft Skills

Strong Listening SkillsEffective CommunicationCollaborative Work StyleProject ManagementProblem-Solving

Tools & Technologies

Power BITableauDatabricksSparkSQL

Industry Keywords

Digital TransformationAI EnablementContinuous ImprovementQuality AnalyticsData Lake Technology

Tech Stack

Tools & technologies

PythonSparkSQLTableau

About the role

Key responsibilities & impact

Support digital transformation and AI enablement efforts for GM Quality Connected Customer Continuous Improvement
Listen to and frame stakeholder problems
Create new data pipelines
Build AI/ML solutions
Develop user interfaces for direct decision support
Propose and implement high-impact data-driven analytic solutions for quality teams
Build predictive and prescriptive models and machine-learning algorithms
Analyze diverse information to discover trends and patterns
Preprocess structured and unstructured data
Monitor and sustain model effectiveness
Present complex information using data visualization and data storytelling
Provide analytical dataset pipelines and user interfaces with diverse technical teams
Create technical documentation for models and processes
Create repeatable and scalable code and processes to improve development and execution efficiency

Requirements

What you’ll need

Bachelor's Degree in Data Science, Analytics, Operations Research, Engineering, Business, Statistics, Economics, Computer Science, Applied Mathematics, or another quantitative field
2 years of experience as a Data Scientist or related
Experience developing, deploying, and monitoring performance of large analytic datasets or machine-learning-based models
Proficiency in Python or similar coding languages
Proficiency in SQL, Spark, or similar querying languages
Proficiency in Power BI, Tableau, or similar visualization tools
Proficiency in Databricks or similar data lake technology platforms
Ability to work with diverse technical teams to produce analytical datasets
Ability to prioritize and manage multiple tasks and projects without sacrificing quality
Strong listening and communication skills
Highly collaborative work style
Ability to evaluate the big picture and provide meaningful business insights and actions
Must not require GM immigration sponsorship now or in the future, including H-1B, OPT, STEM OPT, CPT, TN, J-1, or other immigration support
Master's/Ph.D. degree in Computer Science, Business, Statistics, Mathematics, or a related field is preferred

Benefits

Comp & perks

Benefits supporting well-being at work and at home
Total Rewards resources
Reasonable accommodations for applicants with disabilities