Description
The Role
General Motors is seeking applications for highly motivated and qualified individuals for the position of Scientist. This is a unique opportunity to join a multi-disciplinary team of experienced individuals who will drive the design, development, and deployment of advanced statistical and mathematical solutions running the gamut across the technological spectrum. The team is responsible both for analytics strategy and project-based solutions, focusing on the company's most critical business areas.
As a Scientist, you will be responsible for working on a team seeking to solve GM's most pressing challenges across the enterprise using AI/ML and other analytical techniques. You will be responsible for the entire data science lifecycle process across multiple product workstreams, from initial investigation, to proof-of-concept development, to productionization and deployment, to final enhancement, hardening and maintenance.
What You'll Do
- Develop predictive and prescriptive models using machine-learning algorithms, optimization and AI solutions.
- Analyze large amounts of diverse information to discover trends and patterns that drive business decisions.
- Develop UI applications to deliver insights to business clients.
- Undertake preprocessing of structured and unstructured data.
- Monitor and sustain model effectiveness.
- Present complex information using data visualization techniques.
- Create repeatable and scalable code bases and processes for improving development / execution efficiency.
Your Skills & Abilities (Required Qualifications)
- Candidates must be collaborative team players who will work closely with professionals across the enterprise including other scientists, software developers, analysts and product leads.
- Bachelor's Degree in computer science, engineering, statistics, mathematics, physics or a related degree (MS or Ph.D. preferred).
- 3+ years' experience (2 years with MS) as a data scientist, research scientist, AI analyst, ML engineer, or related role.
- Python proficiency required.
- Expertise across multiple domains of forecasting, clustering, classification, econometrics, optimization, Bayesian statistics, neural networks, deep learning, natural language processing, LLMs, generative AI, and/or other machine learning and AI methodologies.
- Experience with SQL, Databricks and/or other cloud-based data science platforms preferred.
- Strong interpersonal and communication skills and demonstrated working experiences with cross-function product teams.
- Experience with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights.
- Solid problem-solving skills and the ability to translate business questions into data-driven solutions.
- Familiarity with data storage solutions, databases, and data processing frameworks.
- Excellent communication skills to present findings and collaborate across teams.
- Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
Additional Description
What Can Give You a Competitive Advantage (Preferred Qualifications)
- Databricks experience.
- Master's/Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week, at minimum.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
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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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | 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.
Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging for all employees. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is proud to be an equal opportunity employer and is committed to providing a workplace that is free of unlawful discrimination.
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.
Accommodations (U.S. and Canada)
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 [email protected] or call us at 800-865-7580. 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.
