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Sr. Data Scientist - Job Opportunity at General Motors

Markham, Canada
Full-time
Senior
Posted: April 26, 2025
Hybrid
CAD 140,000 - 180,000 annually based on location and seniority level in the Canadian market, with potential for higher compensation through bonus and equity components

Benefits

Comprehensive health insurance with wellness incentives
Dental and vision coverage with health spending account
Competitive life insurance with family coverage
Defined Contribution Pension plan with company matching
Flexible paid time off policy
Industry-leading parental leave benefits
Professional development through tuition assistance
Employee assistance program with mental health support
Unique GM vehicle purchase program
Global recognition program tied to company values

Key Responsibilities

Lead advanced data analytics initiatives for simulation and AI integration
Develop and implement sophisticated signal processing algorithms for automotive engineering
Drive feature extraction and predictive modeling for optimization frameworks
Architect large-scale data analysis solutions with physical system integration
Create data visualization solutions for complex engineering insights
Design and implement ML surrogate models for simulation enhancement
Lead cross-functional teams in data-driven solution development
Mentor team members and drive technical excellence
Pioneer new analytical approaches for automotive technology advancement

Requirements

Education

Bachelors/Masters degree or PhD in mathematics, Engineering, Physics, Computer Science, or related field with Data Science focus

Experience

5+ years in signal processing, feature extraction, or data analysis

Required Skills

Expert understanding of data science, advanced statistics, signal processing and simulation frameworks In depth knowledge of core programming languages (Python, JavaScript, C/C++) Core data tools knowledge: Python (NumPy, Pandas, SciPy), SQL, signal processing libraries Knowledge of ML modeling and modern toolsets Excellent problem-solving skills Strong interpersonal and communication skills
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Sauge AI Market Intelligence

Industry Trends

The automotive industry is experiencing a significant shift towards digital transformation, with AI and simulation technologies becoming central to vehicle development processes. This represents a crucial intersection of traditional automotive engineering with advanced data science. There is an increasing focus on developing digital twins and simulation frameworks that can reduce physical testing requirements and accelerate development cycles. The integration of AI with physical systems engineering is creating new roles that bridge the gap between traditional automotive engineering and modern data science.

Role Significance

Likely part of a specialized team of 5-8 data scientists within a larger engineering organization of 20-30 professionals
Senior individual contributor role with significant technical leadership responsibilities and direct impact on GM's digital transformation initiatives

Key Projects

Development of AI-enhanced simulation frameworks for vehicle systems Creation of optimization algorithms for engineering workflows Implementation of scalable data analytics platforms for engineering insights Design of predictive modeling systems for vehicle performance

Success Factors

Deep expertise in both theoretical and applied aspects of data science and signal processing Ability to bridge the gap between pure data science and physical engineering systems Strong leadership and mentoring capabilities while maintaining technical excellence Capacity to navigate ambiguity and drive innovation in a traditional industry context

Market Demand

Very high demand with growing competition from both traditional automotive companies and tech firms entering the mobility space

Important Skills

Critical Skills

Signal Processing Expertise: Essential for analyzing and optimizing vehicle systems data AI/ML Implementation Skills: Core to developing next-generation simulation frameworks Physical Systems Understanding: Critical for bridging data science with automotive engineering

Beneficial Skills

Cloud Computing Knowledge: Important for scaling solutions MLOps Experience: Valuable for productionizing models Automotive Domain Knowledge: Helpful for context but can be learned

Unique Aspects

Rare opportunity to apply advanced data science in physical engineering context
Direct involvement in automotive industry's digital transformation
Combination of simulation technology with AI represents cutting-edge industry development

Career Growth

2-4 years in role before advancement, depending on project success and organizational growth

Potential Next Roles

Principal Data Scientist Technical Architecture Leader Engineering Analytics Director AI/ML Engineering Manager

Company Overview

General Motors

General Motors is undergoing a major transformation from traditional automaker to technology-driven mobility company, with significant investments in electric vehicles, autonomous driving, and digital technologies

Industry leader in automotive manufacturing with growing emphasis on technology innovation and sustainable mobility solutions
Strategic location in Markham positions the role within Canada's growing technology corridor with access to top talent
Blend of traditional automotive industry stability with increasing focus on digital innovation and agile methodologies
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