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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.
The Role:
As a Data Scientist, you will be responsible for working with a cross functional team of Data Scientists, developers and data engineers seeking to solve GM's most pressing challenges using AI, Machine Learning, and other Advanced Analytics methodologies. You and your team will be responsible for managing the entire data science lifecycle process across one or more products, from initial investigation, to proof-of-concept development, to productization and deployment, to final enhancement, hardening and maintenance.
What You'll Do:
- Work as a member of a cross-functional team to propose and implement high-impact data driven analytic solutions that address business challenges across a variety of business units
- Apply Data Science and Modeling techniques to drive data driven decision making and solve complex business problems:
- Create breakthrough solutions, performing exploratory and targeted data analyses
- Build predictive models and machine-learning algorithms
- Analyze large amounts of diverse information to discover trends and patterns
- Undertake preprocessing of structured and unstructured data
- Monitor and sustain model effectiveness
- Combine models through ensemble modeling
- Present complex information using data visualization techniques
- Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing
- Identify long-term technical innovations while continuously improving execution efficiency.
Your Skills & Abilities (Required Qualifications):
- A Bachelor's degree in computer science, engineering, statistics, mathematics, physics or a related degree (MS or Ph.D. preferred).
- A minimum of 7 years working as a Data Scientist (4 years with Ph.D.)
- Expertise in Python, Databricks and other cloud-based data science platforms, and proficiency in SQL.
- Expertise across multiple domains of forecasting, clustering, classification, econometrics, optimization, Bayesian statistics, neural networks, deep learning, natural language processing, and other machine learning and AI methodologies.
- Strong interpersonal skills and demonstration working with both business stakeholders and leading and developing more junior scientist team members.
Additional Description
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 aspire to be the most inclusive company in the world. 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. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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 Careers.Accommodations@GM.com 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.
