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.
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.
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.
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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.
General Motors is committed to being a workplace that is not only free of 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 understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at 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.
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