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Data Scientist - Job Opportunity at General Motors

Milford, United States
Full-time
Mid-level
Posted: May 6, 2025
Hybrid
USD 95,000 - 135,000 annually based on location, required experience, and automotive industry standards

Benefits

Comprehensive healthcare with HSA and wellness incentives
401(k) with company match and retirement planning
Generous PTO including vacation, holidays and parental leave
Triple tax-advantaged health savings account
Dental and vision coverage
Life insurance protection
Educational support through tuition assistance
Student loan refinancing options
Employee vehicle purchase discounts
Global recognition program

Key Responsibilities

Lead advanced data analytics initiatives for simulation models and AI implementations
Develop and implement sophisticated signal processing algorithms and feature extraction methods
Design and execute statistical analysis for pattern recognition and anomaly detection
Create and maintain large-scale data processing pipelines
Build and optimize machine learning models for simulation surrogate applications
Drive innovation in data-driven solution prototyping
Collaborate with cross-functional teams to integrate physical interpretations
Develop interactive data visualizations for stakeholder communication

Requirements

Education

Bachelor's degree in mathematics, Engineering, Physics, Computer Science, or a related field with a focus on Data Science

Experience

2 years in signal processing, feature extraction, or data analysis

Required Skills

Data science fundamentals Advanced statistics Signal processing Python (NumPy, Pandas, SciPy) SQL Signal processing libraries (PyWavelets, Tsfresh) Machine learning modeling Modern ML toolsets (Scikit-learn, XGBoost) JavaScript C/C++ Problem-solving abilities Strong interpersonal and communication skills
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Sauge AI Market Intelligence

Industry Trends

Automotive industry is experiencing rapid digital transformation with increased focus on simulation and AI technologies Growing demand for data scientists who understand both ML/AI and traditional engineering principles Shift towards digital twin technologies and virtual validation is creating new opportunities in automotive development Integration of AI/ML with physical systems simulation is becoming a critical competitive advantage

Role Significance

Likely part of a specialized technical team of 5-8 data scientists and engineers, working within a larger engineering department
Mid-level individual contributor with significant technical impact on core engineering processes

Key Projects

Development of AI-enhanced simulation frameworks Creation of predictive models for vehicle systems Implementation of automated feature extraction pipelines Optimization of engineering workflows through data analytics

Success Factors

Deep understanding of both data science and engineering principles Ability to bridge theoretical concepts with practical engineering applications Strong collaboration skills with traditional engineering teams Innovative problem-solving approach while maintaining practical implementation focus

Market Demand

High demand with growing trajectory due to automotive industry's digital transformation and focus on autonomous vehicles and electrification

Important Skills

Critical Skills

Signal processing expertise due to complex sensor data analysis requirements Python programming with focus on scientific computing libraries Statistical analysis capabilities for pattern recognition Machine learning modeling for simulation applications

Beneficial Skills

Knowledge of automotive systems and engineering processes Experience with MLOps and deployment pipelines Understanding of optimization techniques Familiarity with cloud computing platforms

Unique Aspects

Role combines traditional engineering with cutting-edge AI/ML applications
Direct impact on next-generation vehicle development processes
Opportunity to influence fundamental transformation in automotive engineering practices
Access to extensive simulation and testing facilities at Milford Proving Grounds

Career Growth

2-3 years in role before advancement, depending on project impact and skill development

Potential Next Roles

Senior Data Scientist Technical Lead - AI/ML Engineering Analytics Manager Principal Data Scientist

Company Overview

General Motors

Global automotive leader transitioning towards sustainable and autonomous mobility solutions

Leading position in traditional automotive with strong investment in future technologies
Major presence in Michigan's automotive technology corridor with significant R&D operations
Traditional automotive culture evolving towards tech-company dynamics with focus on innovation and sustainability
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