The Role
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open workspaces and virtual connection platforms to inspire productivity and flexible collaboration. We are proud to support our employees’ volunteer interests and prioritize efforts that give back to our communities.
The Applied Analytics & Insights Team is seeking applications from highly motivated and qualified individuals for the position of Senior 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 Applied Analytics & Insights team is focused on execution-based analytics to help GM organizations achieve better business outcomes through contextualized solutions with targeted actions. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.
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. Candidates will work as a member of a multi-disciplinary team of various experience levels that frame opportunities, wrangle the necessary data, and design and execute analytical models in support of better business decisions.
What You'll Do
As a Senior Scientist, the chosen candidate will be expected to provide technical thought leadership for their team as problems are explored, selected, and worked against. Senior Scientists are expected to be leaders on their teams: mentoring junior team members, providing guidance to stakeholders, and diving into the technical details of the work as necessary.
As a Senior Scientist, it is expected that you have deep analytic and scientific knowledge of your chosen field and are capable of applying that knowledge across domains to create business value and impact. The ‘How’ this is done can vary wildly from scientist to scientist. Some achieve this by becoming experts at acquiring new business domains. Others are experts in artificial intelligence and machine learning who’ve developed significant abstraction skills. Still others may bring in unique skills around multidisciplinary design optimization or topological data analysis. In all cases though, the successful candidate will need to be able to apply what they bring in quickly and pick up their new domains as they go along.
Analyze 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 projectsRequired Qualifications
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 should have 3+ years of experience among a broad set of potential roles, including but not limited to:
Data ScientistResearch ScientistAI AnalystDeveloperArchitectML EngineerAdditional desired technical expertise:
Analysis and modeling of telematics data, especially from a physical perspectiveExperience with commercial datasetsManipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends with machine learning techniquesModeling data abstractions employing multiple non-linear mathematical and statistical modeling approachesApplying machine learning methodology, with emphasis on applying and integrating machine learning with traditional analytic methodsDevelopment experience in one or more of the following areas:
Python proficiency requiredCPU frameworks for machine learning in python – numpy, pandas, scikit-learnGPU frameworks for machine learning in python – Rapids, PyroDeep learning frameworks in python - PyTorch, TensorFlowModern cloud compute platforms such as Azure with Databricks experience being especially valuable.Good software engineering and package management skills a plus.Education:
Master’s degree (with 5+ years’ experience) or PhD (with 2+ years’ experience) preferred in Mathematics, Physics, Computer Science, Engineering, Econometrics, Statistics, or related quantitative areas.Additional Job DescriptionThis 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.
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.
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 GMOur 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 UsWe 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.
Benefits OverviewThe 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.