Senior Data Scientist
| Company | General Motors |
|---|---|
| Location | Milford Charter Twp, MI, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- 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
- 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.
Responsibilities
- 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
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.)