Senior Data Scientist

Job Description

Hybrid:

This role is categorized as hybrid. This means the successful candidate is expected to report to the Milford Proving Grounds location three times per week, at minimum [or other frequency dictated by the business].

Relocation:

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

Why work for us

There’s never a more exciting time to work for General Motors! We are very passionate about our bold vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. Our transformed 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 techy open workspaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support employee volunteer interests and make it a priority to join together in efforts that give back to our communities.

The Role:

We are at a pivotal time in our industry where simulation techniques are paving the way towards a digital revolution of our engineering tools and systems.  As we transform and drive new software content for our vehicles, our vision is one that strongly augments simulation techniques with Artificial Intelligence (AI). This will enable maximum efficiency, increased robustness, optimized workflows, all scalable.
Towards this goal, we are creating dedicated teams to focus on AI, data analytics, simulation, and automation frameworks for hardware, software and system design and development.

This role is key and is specifically critical to embedding advanced data analytics in our models that will be key to robust AI and optimization implementations.  

Key Responsibilities / what you’ll do:

• Use data analytics and signal processing to analyze simulation output data using techniques like wavelet transforms and motif discovery (or other)
• Develop custom feature extraction methods for predictive modeling then used in optimizations.
• Apply statistical methods, anomaly detection, and clustering to uncover patterns.
• Work with large scale data sets and collaborate with experts in our team to incorporate physical interpretations of insights
• Create interactive data Visualizations to communicate and interpret
• Help build ML models that may be used as surrogates in simulations
• Use your expertise to prototype new data driven solutions that fit our goals as they evolve and we future proof our technology stacks.
• Challenge the status quo continuously, with a main aim being to further our understanding of our data.
• Master ambiguity in a way that can leverage creative insights while remaining grounded in your deliverables.
• Lead and mentor others in the team towards a common goal

Qualifications and Required Skills:

• Expert understanding of data science, advanced statistics, signal processing and simulation frameworks
• In depth knowledge of the core programming languages (Python, JavaScript, C/C++, etc.).
• Core data tools knowledge: Python (NumPy, Pandas, SciPy), SQL, signal processing libraries (PyWavelets, Tsfresh) and more.
• Knowledge of ML modeling and models and its modern toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks)
• Willingness to learn and continue developing knowledge in an up-and-coming field.
• Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.
• Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

Education & Experience:

• Bachelor’s degree in mathematics, Engineering, Physics, Computer Science, or a related field with a focus on Data Science.
• 5+ years in signal processing, feature extraction, or data analysis.

What Will Give You a Competitive Edge (Preferred Qualifications):

• Master’s degree or PhD in mathematics, Engineering, Physics, Computer Science, or a related field with a focus on Data Science.
• Experience with Automotive SW development process
• Knowledge of Full-Stack AI Deployment (e.g. scalable ML pipelines (MLOps) using Docker, Kubernetes, FastAPI, cloud services, or other modern toolsets)
• Experience with advanced simulation or CoSimulation frameworks
• Knowledge of robust optimization techniques (GA’s, PSO, MDO, etc.)

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.​