Data Scientist

Overview

On Site
Hybrid
Full Time

Skills

Decision-making
Artificial Intelligence
Decision Support
Algorithms
Unstructured Data
Modeling
Dashboard
Interfaces
Workflow
Data Science
Analytics
Operations Research
Economics
Applied Mathematics
Analytical Skill
Machine Learning (ML)
Python
SQL
Apache Spark
Visualization
Microsoft Power BI
Tableau
Databricks
Data Lake
Communication
Collaboration
Conflict Resolution
Problem Solving
Change Management
Issue Resolution
Web Applications
Dash Python
Computer Science
Statistics
Mathematics
Employment Authorization
Immigration
Reporting
Management
FOCUS
SAP BASIS
Recruiting
Screening

Job Details

Job Description

The Global Engineering Operations & Specifications Analytics team is driving transformation in how General Motors approaches vehicle engineering through advanced data science. We combine deep knowledge of GM's engineering systems, processes, and data with cutting-edge analytics to deliver solutions that improve efficiency and decision-making across the organization.

The Role

As a Data Scientist, you will collaborate with cross-functional teams to design and implement high-impact, data-driven solutions that address complex engineering challenges. Your work will involve framing stakeholder problems, building data pipelines, developing AI/ML models, and creating user interfaces that enable actionable insights for decision support.

What You'll Do
  • Partner with engineering teams to identify opportunities and deliver data-driven solutions.
  • Apply advanced data science and modeling techniques to solve complex problems:
    • Build predictive and prescriptive models and machine-learning algorithms.
    • Analyze large, diverse datasets to uncover trends and patterns.
    • Preprocess structured and unstructured data for modeling.
    • Monitor and maintain model performance.
  • Develop intuitive data visualizations and dashboards to communicate insights effectively.
  • Create scalable, repeatable code and processes to improve efficiency.
  • Collaborate with technical teams to deliver analytical datasets and user interfaces aligned with business needs.
  • Document models, processes, and technical workflows for transparency and reproducibility.

Required Qualifications
  • Bachelor's degree in Data Science, Analytics, Operations Research, Engineering, Statistics, Economics, Computer Science, Applied Mathematics, or a related quantitative field.
  • Minimum 1 year of experience as a Data Scientist, including developing, deploying, and monitoring large analytic datasets and machine-learning models.
  • Proficiency in:
    • Programming: Python or similar languages.
    • Data Querying: SQL, Spark, or similar.
    • Visualization Tools: Power BI, Tableau, or similar.
    • Data Platforms: Databricks or similar data lake technologies.
  • Strong ability to work with diverse technical teams and manage multiple projects simultaneously.
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to synthesize complex data into actionable business insights.

Preferred Qualifications
  • Domain knowledge of engineering processes and data (e.g., part release, change management, issue resolution, validation).
  • Experience building web applications using frameworks like Dash or Streamlit.
  • Master's degree in Computer Science, Statistics, Mathematics, or a related field.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.