Machine Learning - Data Scientist

Description
Sponsorship: 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.
Hybrid or Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, or Milford], you are expected to report to that location three times a week, at minimum.
The Role
The Product Safety Data Analytics team is seeking a skilled Data Scientist with a wide range of AI/ML experience from NLP, to traditional models like XGBoost and SVM along with expertise in Azure, Databricks, and MLflow for LLM's. This Data Scientist role requires well-rounded programming capabilities and statistical techniques to solve complex problems. If you're passionate about driving innovation through AI/ML and enjoy working collaboratively within an analytics team, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment.
As a Machine Learning Data Scientist, you will play a key role in providing technical expertise and guidance to ensure the successful development and delivery of Machine Learning and AI solutions. Your responsibilities will include working with your customers, Engineers, Data Analysts and Data Scientists to understand their needs and collaborating within your team to determine the best approach. Once the approach is identified, data selection including analyzing and preparing the data is key for training your machine learning model. Additional steps include working within our ML Ops framework to test and deploy your solution.
What You'll Do

• Train new machine learning models to solve complex business problems.
• Enhance existing machine learning models to increase performance and adapt to our changing business landscape.
• Prototype new AI solutions, including Generative AI, to solve business problems.
• You provide guidance on describing enterprise or vehicle performance using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.
• You thrive in reciprocal environments with leaders and managers to resolve and address ad-hoc data and reporting needs.
• Build statistical models that depict company-wide trends.
• Perform testing and validation of data sets.
• Challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes.
• Keeping defined structures in documentation and data and have a large toolset in statistical methodologies to tackle business problems.

Additional Description
Your Skills & Abilities

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of experience in machine learning engineering, data science, or a related field
• Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks
• Familiarity with MLflow for model management and experimentation
• Proficiency in Python for machine learning and data analysis
• Knowledge of machine learning algorithms, NLP techniques, statistical modeling, and data structures
• Experience with version control systems (e.g., Git)
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A Competitive Edge (Preferred qualifications)

• Experience with generative AI

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation:

• The expected base compensation for this role is $85,100 - $143,300 USD Annually
• Actual base compensation within the identified range will vary based on factors relevant to the position
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance

Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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)
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