Job Description
This is a Hybrid position within our Engineering organization. The role will allow employees to work remotely, but will also require onsite work based on business needs. The selected candidate will be expected to live a commutable distance to the technical or innovation center they are selected for. Relocation will be provided as needed.
The Software Defined Vehicle team supports the definition, design, and development of continuously improving mobility services. SDV is new vehicle intelligence platform that will underpin all our future innovations across a wide range of technological advancements, including EVs and expanded automated driving. This means that you can potentially put a fingerprint on the vehicles that drive down the road! This space is ripe with technical leadership opportunities for sophisticated technology development, as well as the ability to provide mentorship for new employees. You can flex your collaboration muscles as you will be tasked with working with several other areas of engineering, IT, and the business.
As a Data Scientist, you will be applying Data Science and Modeling techniques to tackle complex business problems. Are you driven and passionate about data analytics and data sciences? Can you lead with our vision for the future? Come be part of an industry whose vision is to change the future of mobility.
This is a unique opportunity to translate expertise and experience into practices around virtuous cycles for machine learning data within a multi-disciplinary team of experienced people. We lead the design, development and deployment of advanced statistical and mathematical solutions with the help of machine learning techniques and traditional methods. You'll be part of a team that generates new algorithmic models and software, enabling companies to develop automated and autonomous driving systems.
You will support iterative development and learning cycles in the areas listed below, and ultimately produce new and creative solutions that will become part of the operating fabric of the global enterprise. The scope of the work may vary and the candidate should demonstrate proficiency in one or more of the following:

• Geospatial analysis and mapping
• Mobility and behavioral analysis
• Risk analysis and forecasting
• Comparative frameworks between sparse real-world observations, dense simulated observations, and opportunities to expand sensor or sensing frameworks
• Emerging techniques such as generative adversarial networks, self-supervised reinforcement learning, and imitation learning for complex optimization problems
• Numerical optimization, statistical modeling and forecasting, machine learning and image processing

Responsibilities:

• Provide technical guidance and subject matter expertise to team members and stakeholders
• Build predictive models and machine-learning algorithms
• Analyze large amounts of information to discover trends and patterns
• Undertake preprocessing of structured and unstructured data
• Monitor and sustain model effectiveness
• Combine models through ensemble modeling
• Present complex information using data visualization techniques
• Propose solutions and strategies to business challenges that drive business impact

The successful candidate should have experience (3 years outside of a graduate school assistantship) across a broad set of potential roles, including:

• Research, Data, or AI/ML Scientist
• AI Analyst
• Engineer
• AI/ML Developer or Architect

Additional Job Description
Qualifications:

• Candidates should have deep familiarity with predictive modeling techniques based off time series analysis with very high dimensional data sets, especially regarding kinematics
• Experience in generating geospatial feature detection models such as land use, land type, or object detection leveraging sensor fusion or imagery classification is highly desired
• Experience establishing sampling policies for understanding real-world dynamic events from small samples of data, and methodological bases for calculating comprehensive statistics needed to validate expected performance of models or generalization from small samples
• Experience translating real-world sensor data into simulated environments and vice-versa
• Familiarity with linear discriminant analysis, cluster analysis, and other methods to identify latent class features in both labeled and label-free data

Skills:
Candidates must be collaborative team players who will work closely with fellow Engineering professionals (scientists, engineers, software developers, and team leads). Further, candidates should be able to demonstrate the following capabilities:

• Working on small, high output teams in a fast-paced environment
• Excellent verbal and written communication skills with the ability to interact effectively with multiple stakeholders
• Strong problem-solving skills and analytical thinking
• Excellent attention to detail
• Ability to deep dive into data or related analyses/reports and derive useful insights to support decision making

Requirements:

• MS Degree (PhD Preferred) in Engineering, Computer Science, Physics, Mathematics, or related quantitative field
• 5 or more years proficiency in one or more core analytical tools / suites / languages such as Python, R, Spark Scala, PyTorch, TensorFlow, and understand their limitations
• Preferred experience with autonomous vehicle and/or ADAS technologies/systems and related vehicle data processing and analytics

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
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and 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 atCareers.Accommodations@GM.com. 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.