Scientist

Austin IT Innovation Center North - Austin IT Innovation Center North

General Motors

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Job 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.

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 Job 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. 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 Overview

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.

Diversity Information

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.

Equal Employment Opportunity Statements

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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Category: Data Science Jobs

Tags: Azure Computer Science Databricks Data quality Deep Learning Econometrics Engineering GPU Linear algebra Machine Learning Mathematics ML models NumPy Pandas PhD Physics Predictive modeling Python PyTorch Research Scikit-learn Statistical modeling Statistics TensorFlow

Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Medical leave Parental leave

Region: North America
Country: United States

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