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Staff Data Scientist - Job Opportunity at General Motors

Warren, United States
Full-time
Senior
Posted: April 10, 2025
Hybrid
USD 160,200 - 258,700 per year

Benefits

Comprehensive Health Insurance with HSA and FSA options
401(k) with company match
Competitive PTO and holiday package
Parental leave for all parents
Tuition assistance and student loan support
Vehicle discount program
Life and disability insurance
Wellness programs and incentives
Employee assistance program
Vision and dental coverage
Company vehicle provision (with MVR approval)

Key Responsibilities

Lead strategic analytics initiatives across global operations
Design and implement advanced machine learning and statistical models
Drive cross-functional data analytics projects in core business areas
Develop and productionize analytical solutions
Assess and optimize existing analytic architectures
Create breakthrough solutions through proof-of-concept development
Ensure statistical and economic model integrity
Monitor and maintain model effectiveness
Transform complex business requirements into actionable analytics solutions

Requirements

Education

PhD preferred; Master's degree

Experience

10+ years professional experience

Required Skills

Advanced statistical and machine learning expertise Python (Sci-Kit Learn) Spark R TensorFlow Databricks Azure Power BI Tableau Data pipeline development Business process understanding Communication skills Problem-solving abilities Team leadership Project management
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Sauge AI Market Intelligence

Industry Trends

Automotive industry's rapid shift towards data-driven decision making and autonomous vehicle development is creating premium demand for senior data scientists Integration of AI/ML in manufacturing processes is becoming critical for operational efficiency Growing emphasis on environmental impact analysis and sustainability metrics in automotive data science Increased focus on real-time data processing and edge computing for connected vehicle platforms

Salary Evaluation

The offered salary range is competitive for senior data science roles in the automotive sector, particularly given GM's market position. The wide range (160K-259K) suggests significant room for negotiation based on expertise and impact.

Role Significance

Likely leads or significantly influences a team of 5-10 data scientists while collaborating across multiple business units.
Staff-level position indicates senior technical leadership role with significant strategic influence on GM's global analytics initiatives.

Key Projects

Autonomous vehicle data analysis and modeling Manufacturing process optimization Supply chain analytics Customer behavior and market trend analysis Environmental impact and sustainability metrics Connected vehicle data processing systems

Success Factors

Deep understanding of automotive industry challenges and opportunities Ability to translate complex technical solutions for executive stakeholders Experience with large-scale data processing and model deployment Strong project management and team leadership capabilities Track record of delivering measurable business impact through analytics

Market Demand

Very high demand with limited talent pool, especially for candidates with automotive industry experience and advanced degrees. The role's hybrid nature and location flexibility indicate GM's adaptation to current market preferences.

Important Skills

Critical Skills

Machine learning and statistical modeling expertise for complex automotive applications Cloud platform experience for large-scale data processing Business acumen for translating technical solutions into value Leadership and communication skills for driving cross-functional initiatives

Beneficial Skills

Automotive industry knowledge IoT and connected vehicle expertise Sustainability metrics analysis Edge computing and real-time processing experience

Unique Aspects

Rare opportunity to influence global automotive industry transformation
Access to massive scale of data and resources
Direct impact on future mobility solutions
Balance of traditional automotive stability with tech sector innovation

Career Growth

2-4 years in role before advancement, depending on impact and organizational needs

Potential Next Roles

Principal Data Scientist Analytics Director Chief Data Officer Technical Fellow Head of AI/ML Strategy

Company Overview

General Motors

Global automotive leader undergoing significant digital transformation with focus on zero crashes, zero emissions, and zero congestion vision.

Fortune 10 company with strong market presence and significant investment in future mobility technologies.
Major technical centers in multiple US locations with global reach and influence.
Traditional automotive culture evolving towards tech company dynamics with emphasis on innovation and sustainability.
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