Lead Data Scientist – PPCO AIML

Job Description

Work Classification:

Hybrid: This means the successful candidate is expected to report to their primary location (Warren MI) three times per week at minimum or other frequency dictated by the business.

The Role:

Seeking a Lead Data Scientist to drive the development and deployment of advanced AI/ML solutions that transform cost engineering and product profitability. This role will serve as the technical lead for AI innovation within PPCO with a focus on scalable production-grade systems that integrate engineering manufacturing and supplier data to optimize vehicle cost and component strategies.

What Youll Do:

• Architect and lead the development of AI/ML models for cost estimation risk modeling and design optimization leveraging LLMs RAG pipelines and agentic AI to solve complex cost engineering challenges.

• Own the full lifecycle of AI/ML solutionsfrom hypothesis testing and proof-of-concept development to scalable deployment in production environments.

• Translate domain needs into actionable AI/ML solutions by serving as a technical bridge across engineering purchasing analytics and business teams.

• Shape the AI/ML roadmap for cost engineering by identifying emerging technologies and proactively developing capabilities to meet future needs.

• Provide technical vision and mentorship scaling best practices in experimentation model development and deployment across the team.

• Pioneer novel applications of AI/ML to enhance efficiency decision-making and profitability in cost analytics.

• Drive initiatives with rigor reproducibility and speed ensuring seamless transition from concept to enterprise-scale impact.

Your Skills & Abilities (Required Qualifications):

• Masters in Engineering Physics Statistics or a related quantitative field (Ph.D. strongly preferred)

• 7 years of experience in data science with 3 years in production-grade AI/ML systems

• Deep expertise in:

  • Deep learning (CNNs RNNs)

  • Classical ML (regression classification)

  • Python (PyTorch TensorFlow HuggingFace Scikit-learn XGBoost)

  • Cloud platforms Spark Databricks SQL

  • LLMs RAG pipelines and agentic AI

• Proven ability to build PoC apps (e.g. Streamlit Dash) for stakeholder engagement

• Strong understanding of cost engineering manufacturing processes and supplier economics

• Demonstrated success in delivering AI/ML solutions that drive measurable cost savings

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

• Ph.D. in Engineering Physics Statistics or a related quantitative field

• 10 years of experience in data science with 3 years in production-grade AI/ML systems

• Familiarity with GMs cost structure purchasing systems and vehicle development lifecycle

• Ability to communicate complex technical concepts to non-technical stakeholders

• Strategic mindset with a bias for action and experimentation

Company Vehicle:

Upon successful completion of a motor vehicle report review you will be eligible toparticipatein a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuition assistance programs employee assistance program GM vehicle discounts and more.

Relocation:

This job may be eligible for relocation benefits.

About GM

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Why Join Us

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Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

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