General Motors

Data Scientist Statistician Lead - Product Safety Data Analytics

General Motors • $100K — $130K *
Warren, MI 48089In-Person
Manufacturing & Automotive
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 8+ years of experience in applied statistics, machine learning, or data science (or 6+ years with Ph.D.)
  • M.S. in Statistics, Mathematics, Econometrics, Operations Research or a related field
  • Strong background in advanced statistical analyses like reliability analysis and multivariate analysis
  • Expertise in anomaly detection, diagnostics, and root cause analysis
  • Proficient in Python, R, Java, PySpark, and TensorFlow
  • Experience with data engineering and creating data pipelines
  • Excellent communication skills for presenting complex data insights to executives

Responsibilities

  • Lead the development of scalable solutions to detect emerging vehicle safety issues
  • Standardize best practices for monitoring safety hazards
  • Integrate effective analytical solutions into existing processes
  • Automate data analysis tasks through custom software and off-the-shelf tools
  • Develop statistical and machine learning models to address business challenges
  • Prototype new analytical approaches tailored to business needs
  • Communicate data-driven insights effectively to various stakeholders

Benefits

  • Eligibility for a company vehicle evaluation program after motor vehicle report review
  • Opportunities for professional growth in a collaborative team environment
  • Focus on innovation and creativity
  • Engagement in a mission-driven team prioritizing safety impact through analytics
Full Job Description
Job Description

The Role

The Product Safety Data Analytics team is seeking highly motivated and qualified candidates for the position of Data Scientist Statistician Lead.

This is a great opportunity for an innovative data scientist/statistician and technical leader with extensive hands-on experience across the full end-to-end data science lifecycle. This technical leader role requires extensive programming skills and deep knowledge of statistical techniques to solve complex problems and provide guidance to a team of data scientists focused on advanced statistical analysis, predictive modeling, and data-driven decision support. You will be part of a highly collaborative team that values growth, creativity, and a relentless focus on business impact through analytics.

In this role, you will be responsible for leading the development of scalable solutions to identify and analyze potential emerging vehicle safety issues. You will work with business partners to understand their challenges and needs, develop appropriate statistical analyses, lead proof-of-concept efforts for new analytical capabilities, and provide technical expertise and guidance to a team of data scientists.

What You'll Do (Responsibilities):
  • Develop and standardize best practices for continuously monitoring emerging safety issues for use in safety hazard monitoring
  • Raise the bar on safety-investigation data-analytics support by continuously integrating effective analytical solutions and developing a feedback loop for tool and process improvements
  • Correctly perform appropriate statistical data analyses to provide unbiased results
  • Continuously drive efficiencies by implementing automation opportunities using a combination of custom software development and integration of off-the-shelf solutions
  • Develop and refine statistical and machine learning models to solve complex business problems
  • Prototype new analytical approaches and decision-support solutions to address business needs
  • Develop workflow automation and scalable analytical tools to streamline business processes
  • Identify long-term technical innovations while continuously improving execution efficiency
  • Exhibit the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive
  • Apply strong business acumen, highly specialized knowledge, and organizational expertise to establish and advance new data-analytics support areas


Your Skills & Abilities (Required Qualifications):
  • 8+ years of work experience in applied statistics, machine learning, engineering, or data science, or 6+ years of work experience with Ph.D.
  • M.S. in a quantitative discipline (Statistics, Mathematics, Econometrics, Operations Research, or other relevant degree)
  • Strong background in varied statistical data analyses such as reliability analysis, analysis of variance, time series, categorical data analysis, multivariate analysis, and sampling design
  • Strong background in anomaly detection, diagnostics and prognostics, and root cause analysis
  • Demonstrated experience in large-scale data analytics
  • Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, SQL
  • Machine Learning & Advanced Analytics: supervised and unsupervised learning, natural language processing, decision trees, clustering, anomaly detection, and predictive modeling
  • Data Engineering: Databricks, SQL, data pipelines, data preprocessing, and feature engineering
  • Ability to effectively communicate results and methodologies; must be comfortable presenting to executive leadership
  • Strong work ethic, drive for results, and the ability to work in an ambiguous workspace
  • Understanding of vehicle safety technologies including design intent, function, and intended performance in the field


What Will Give You a Competitive Edge (Preferred Qualifications):
  • Ph.D. in a quantitative discipline (Statistics, Mathematics, Econometrics, Operations Research, or other relevant degree)
  • 10+ years of work experience in applied statistics, machine learning, engineering, data science, or a related field
  • Deep knowledge of GM's Data Ecosystem
  • Deep knowledge of GM's Cloud Technology Stack for Data Science
  • SME in applied reliability/survival analysis
  • Experience in vehicle development or validation of safety-related systems or components
  • Experience taking advanced analytics solutions from business problem statement through deployment and ongoing optimization
  • Experience developing and deploying production-grade statistical or machine learning solutions that have delivered significant business value


Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

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Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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