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Principal Data Scientist

Toyota Motor North America

Plano, TX

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Automotive Manufacturing, Best Practices, Business Case, Cloud Computing, Computer Science, Computer Vision, Continuous Improvement, Data Science, Deep Learning, Economics, Flexible Spending Accounts, GitHub, Healthcare, Machine Learning, Manufacturing, Mathematics, Performance Tuning/Optimization, Productivity Management, Programming Tools, Proof of Concept, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Statistical Modeling, Statistics, Team Player, Technical/Engineering Design, Tuition Reimbursement, Use Cases
LOCATION
Plano, TX
POSTED
3 days ago
Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Who we're looking for

Toyota's OneTech Data Science and Machine Learning Department is looking for a passionate and highly motivated Principal Data Scientist.

The primary responsibility of this role is to lead the design, development, and industrialization of advanced data science and machine learning solutions that drive measurable business value across multiple domains.

Reporting to the Senior Manager, Data Science and Machine Learning, the person in this role will support the Data Science and Machine Learning department's objective to accelerate the adoption of scalable analytics, machine learning, and AI solutions across the quality, service parts, and manufacturing domains.

What you'll be doing

  • Lead and contribute to the end-to-end delivery of complex data science initiatives across discovery, data exploration, experimentation, proof-of-concept, deployment, monitoring, and continuous improvement
  • Design and develop scalable machine learning, deep learning, computer vision, optimization, and generative AI solutions for business and manufacturing use cases
  • Translate ambiguous business problems into clear analytical approaches, technical designs, and deployable solutions that create measurable impact
  • Build production-quality solutions using Python, PySpark, SQL, and enterprise data science platforms to support robust model development and operationalization
  • Partner with product managers, data engineers, Machine Learning (ML) engineers, domain experts, and business stakeholders to ensure successful implementation and adoption of data science solutions
  • Drive technical excellence in model evaluation, interpretability, robustness, performance tuning, and production readiness
  • Contribute to reusable frameworks, standards, and best practices that improve team productivity and solution quality


What you bring

  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative field, and a minimum of 5 years of relevant experience
  • Strong hands-on experience delivering data science solutions across the full lifecycle from proof-of-concept to production deployment
  • Technical expertise in machine learning, statistical modeling, deep learning, optimization, computer vision, and generative AI methods
  • Hands-on proficiency with Python, PySpark, SQL, and modern data science development practices for scalable and maintainable solutions


Added bonus if you have

  • A PhD in a related quantitative field
  • Experience applying data science in product quality, manufacturing quality, or related industrial quality domains
  • Experience in automotive or advanced manufacturing environments
  • Proficiency with GenAI agents, including designing, orchestrating, or deploying agent-based AI workflows for business use cases and data science workflow efficiency improvement
  • Experience working in AWS cloud
  • Hands-on experience with enterprise platforms and tools such as AWS SageMaker developer tools, Databricks, Spark, Airflow, and GitHub


What we'll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

  • A work environment built on teamwork, flexibility and respect
  • Professional growth and development programs to help advance your career, as well as tuition reimbursement
  • Team Member Vehicle Purchase Discount
  • Toyota Team Member Lease Vehicle Program (if applicable)
  • Comprehensive health care and wellness plans for your entire family
  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
  • Paid holidays and paid time off
  • Referral services related to prenatal services, adoption, childcare, schools and more
  • Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)


Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to .

About the Company

T

Toyota Motor North America

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