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Vehicle Safety Technical Lead for Avanced Analytics

General Motors · Warren, MI · 2 mo ago
Hybrid$185k–$284k/yrFull-time

About the Role

The Product Safety Data Analytics team is seeking a technical leader with extensive hands-on experience in the full end-to-end data science lifecycle for artificial intelligence & machine learning. This role requires deep programming and statistical expertise to solve complex problems and guide a team of data scientists focused on AI/ML. You will work with telematics data to integrate the "Voice of the Vehicle" into technical solutions, driving innovation in a dynamic environment.

Responsibilities

  • Work with business partners to identify opportunities for new AI/ML solutions to enhance processes and improve team efficiency.
  • Train new machine learning models to solve complex business problems.
  • Prototype new AI solutions, including Generative AI, to address business challenges.
  • Develop Agentic AI solutions to streamline business processes.
  • Use telematics data in AI/ML solutions to provide early and comprehensive insights into potential safety issues.
  • Build and maintain data pipelines.
  • Provide guidance on business problems using statistical methods and craft ad-hoc reports to share findings and recommendations.
  • Build statistical models that depict company-wide trends.
  • Perform testing and validation of data sets.
  • Interpret data meaning and explain how teams and leaders can leverage it to improve and streamline processes.
  • Maintain structured documentation and apply a broad toolset of statistical methodologies to tackle business problems.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 7+ years of experience in machine learning, engineering, data science, or a related field.
  • Extensive experience in the following areas:
    • Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL.
    • Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Deep Learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering.
    • Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering.
    • Cloud & Big Data Platforms: Microsoft Azure (Data Lake, Machine Learning, Databricks); familiarity with AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) is a plus.
    • Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira.
    • Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy.
  • Proven track record providing technical leadership in AI/ML.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Strong problem-solving mindset and a proactive attitude toward learning and self-improvement.

Preferred Qualifications

  • Experience analyzing vehicle data such as diagnostic and/or time series data.
  • Working understanding of GM’s Vehicle Data Ecosystem.
  • Working understanding of vehicle systems such as propulsion, braking, steering, etc.
  • Deep knowledge of GM’s Data Ecosystem and Cloud Technology Stack for Data Science.
  • Deep knowledge of Global Product Safety’s SFI Process.
  • Master’s Degree in Computer Science, Engineering, Mathematics, or a related field.
  • Extensive experience with NLP solutions, from business problem statement to deployment and optimization.
  • Expertise with Large Language Models, from business problem statement to cloud deployment, delivering significant business value.
  • Experience developing and deploying generative AI solutions in a production environment that provided measurable business impact.
  • Experience leading a team of data scientists to exceed customer expectations.

Benefits

  • Medical, dental, and vision insurance.
  • Health Savings Account (HSA) and Flexible Spending Accounts (FSA).
  • Retirement savings plan.
  • Sickness and accident benefits, life insurance.
  • Paid vacation and holidays.
  • Tuition assistance programs.
  • Employee assistance program.
  • GM vehicle discounts.
  • Company vehicle evaluation program (upon successful completion of a motor vehicle report review).

Pay

The salary range for this role is $185,100 - $284,100. The actual base salary will vary based on factors relevant to the position and the candidate’s geography. An incentive pay program offers payouts based on company performance, job level, and individual performance.

Schedule

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week (or as dictated by their manager). This job may be eligible for relocation benefits.

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