Principal Data Scientist

Toyota North America

4.2

Plano, TX

Why you should apply for a job to Toyota North America:

  • 4.2/5 in overall job satisfaction

  • 82% say women are treated fairly and equally to men

  • 71% would recommend this company to other women

  • 69% say the CEO supports gender diversity

  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Women Influencing and Impacting Toyota (WIIT) employee resource group, with 14 chapters across North America,

  • SuccessShare, a sponsorship program designed to prepare the next generation of women leaders at Toyota.

  • Toyota paid maternity leave provides up to six to eight weeks of 100% paid leave, depending on method of delivery.

  • #10210090

    Position summary

    Overview

    Who we are

    At Toyota, we are reimagining mobility through innovative, high-quality technology solutions designed to enhance lives and meet our company mission of “Producing Happiness for All.” If you are interested in reimagining mobility with us in an inclusive environment built on teamwork that puts respect for people first, we want to talk to you.

    This position is based in Plano, Texas.

    Toyota encourages all employees to live within a reasonable commuting distance of their assigned work location.

    Hybrid work from outside of the assigned work location may be permitted in a pre-approved list of states (AZ, CA, CO, GA, IL, IN, KY, MA, MI, MO, NJ, NY, OH, OR, TN, TX, VA, WV) with certain stipulations.

    Speak with your recruiter and hiring manager to learn more about our hybrid work program.

    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 Information Technology Experiences (ITx) organization is looking for a passionate and highly motivated Sr. Data Scientist for the Office of Data Science and Automation (ODSA), Data & Analytics department.

    The primary responsibility of this role is to serve as a technical domain expert in machine learning (ML), guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications.

    Reporting to the Chief Data Scientist/VP Data and Analytics, the person in this role will support the Data and Analytics department's objective to recast its relationship with business functions from a provider of technology to a business partner capable of innovating business practices through the delivery of technology services and data science.

    What you’ll be doing

    • Drive the creation, delivery, and evolution of ML models and software components that enable state-of-the-art intelligent systems, working in collaboration with the Business, Data, Product, Architecture, Engineering, and Cloud teams.
    • Lead large-scale ML initiatives with customer needs in mind.
    • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.
    • Use programming languages like Python, PySpark, or Scala.
    • Promote best practices in all aspects of the engineering and modeling lifecycles.

    What you bring

    • Master’s degree or higher in computer science, engineering, mathematics, or a similar technical field.
    • Experience designing and building data-intensive predictive analytics/machine learning solutions in a distributed production environment.
    • Experience programming with Python, PySpark, and/or Scala.
    • Experience with the full Machine Learning development lifecycle using modern technology in a business-critical setting.
    • Experience with database query languages such as SQL, Hive, and Pig.
    • Applied statistical experience, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.

    Added bonus if you have

    • Doctoral degree in computer science, engineering, mathematics, or a similar technical field.
    • Java or C++ experience.
    • Working experience in the automotive or manufacturing industry.
    • Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure/platforms.
    • Experience in AWS, GCP, or Azure cloud platforms.
    • Data Wrangling experience, including the ability to transform raw data into more readily used formats.

    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.
    • Vehicle purchase & lease programs.
    • Comprehensive health care and wellness plans for your entire family.
    • Flextime and virtual work options (if applicable).
    • 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).
    • Relocation assistance (if applicable).

    Belonging at Toyota

    Our success begins and ends with our people. We embrace diverse 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. As a company that has been one of DiversityInc’s Top 50 Companies for Diversity and a member of The Billion Dollar Roundtable supporting minority and woman-owned suppliers for over 10 years, we are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business. 

    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 or need assistance with your application?  Check out the How to Apply section of our careers page on Toyota.com or send an email to [email protected]

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    What are Toyota North America perks and benefits

    Lactation facilities

    Fertility

    Onsite child care

    Coaching

    Unconscious bias training

    Sponsorship program

    Succession planning

    Diversity recruiting

    Sabbatical

    Networking

    Diversity performance

    Unpaid paternity

    Unpaid maternity

    Paid maternity

    About the company

    Industry: Automotive: Manufacturers

    Why you should apply for a job to Toyota North America:

  • 4.2/5 in overall job satisfaction

  • 82% say women are treated fairly and equally to men

  • 71% would recommend this company to other women

  • 69% say the CEO supports gender diversity

  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Women Influencing and Impacting Toyota (WIIT) employee resource group, with 14 chapters across North America,

  • SuccessShare, a sponsorship program designed to prepare the next generation of women leaders at Toyota.

  • Toyota paid maternity leave provides up to six to eight weeks of 100% paid leave, depending on method of delivery.