Description
Hybrid: This means the successful candidate is expected to report to their primary location (Warren, MI Austin, TX,) three times per week, at minimum.
The Role:
General Motors is seeking applications 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 be driving the design, development, and deployment of advanced statistical and mathematical solutions running the gamut across the technological spectrum.
The team will generate new algorithmic and software models enabling analytic capabilities in enterprise-wide applications. Candidates will develop solutions to problems across the enterprise using AI/ML and other analytical techniques. In some cases, invention and generation of intellectual property for General Motors will be required. As a Scientist, the chosen candidate will be expected to provide thought/technical leadership for their team as problems are explored, selected, and worked against.
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Experience with predictive modeling techniques based on time series analysis with very high dimensional data sets, especially regarding kinematics, is highly desired. Candidates should be familiar with techniques from scientific computing such as function interpolation and numerical linear algebra. Additionally candidates should be familiar with algorithms and methods to identify latent class features in both labeled and label-free datasets.
What You'll do:
- Analyze large datasets to extract actionable insights and patterns that drive business decisions.
- Develop and implement machine learning models to solve complex business problems and improve processes.
- Clean, preprocess, and transform raw data into usable formats, ensuring data quality and integrity.
- Explore and experiment with new data sources, techniques, and algorithms to continuously improve analytical capabilities.
- Collaborate with cross-functional teams to identify data-driven opportunities and provide guidance on data collection and storage.
- Able to work independently and guide more junior resources through standard projects, under direction of a senior data scientist.
Additional Description
Your Skills & Abilities (Required Qualifications)
- Bachelor of Science in Mathematics, Physics, Computer Science, Engineering, Econometrics, Statistics, or related quantitative areas.
- Candidates must be collaborative team players who will work closely with professionals across the enterprise including other scientists, software developers, analysts, product leads, and potentially vehicle engineers. The candidate must have 2+ years' experience among a broad set of potential roles, including but not limited to:
- Data Scientist
- Research Scientist
- AI Analyst
- Developer
- Architect
- ML Engineer
- Development experience in one or more of the following areas:
- Python proficiency required
- CPU frameworks for machine learning in python - numpy, pandas, scikit-learn
- GPU frameworks for machine learning in python - Rapids, Pyro
- Deep learning frameworks in python - PyTorch, TensorFlow
- Modern cloud compute platforms such as Azure with Databricks experience being especially valuable.
What Will Give You A Competitive Edge (Preferred Skills)
- Master's degree with 3+ years' experience or PhD preferred in Mathematics, Physics, Computer Science, Engineering, Econometrics, Statistics, or related quantitative areas.
- Analysis and modeling of telematics data, especially from a physical perspective
- Experience with commercial datasets
- Telematics experience
- Manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends with machine learning techniques
- Modeling data abstractions employing multiple non-linear mathematical and statistical modeling approaches
- Applying machine learning methodology, with emphasis on applying and integrating machine learning with traditional analytic methods
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.