Toyota North America
Overview
Join to apply for the
Data Scientist
role at
Toyota North America . Who we are: Collaborative. Respectful. A place to dream and do. 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. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company—delivering on Toyota\'s vision to move people beyond what\'s possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently. This position is based at the Toyota Headquarters in Plano, TX with onsite work Monday-Thursday and remote work on Fridays. What You’ll Be Doing
Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions. Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development. Develop and implement predictive and prescriptive models using statistical and machine learning techniques to address key business challenges and deliver actionable insights. Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders. Transition models from development to production within the organization’s cloud ecosystem. Participate in project planning and prioritization to ensure data initiatives align with business goals. Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions. What You Bring
Master’s degree or higher in a relevant analytical field. Hands-on experience building and optimizing data solutions using Python. Experience solving problems using a variety of statistical and machine learning techniques. Hands-on experience with frameworks such as statsmodels, scikit-learn, and PyTorch. Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks. Proactive approach to identifying problems and developing innovative solutions. Added bonus if you have
Experience with version control systems such as GitHub, and familiarity with CI/CD practices to streamline model deployment and code management. Hands-on experience with cloud-based ML platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources. Ability to lead through influence and navigate complex cross-departmental projects to drive impactful change. Capability to replace and bridge existing legacy infrastructure and processes. 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 including 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 with company match and an annual retirement contribution from Toyota 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 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 require any special accommodations? Please send an email to talent.acquisition@toyota.com. Seniority level
Not Applicable Employment type
Full-time Job function
Engineering and Information Technology Industries
Motor Vehicle Manufacturing, Appliances, Electrical, and Electronics Manufacturing, and Industrial Machinery Manufacturing
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Join to apply for the
Data Scientist
role at
Toyota North America . Who we are: Collaborative. Respectful. A place to dream and do. 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. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company—delivering on Toyota\'s vision to move people beyond what\'s possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently. This position is based at the Toyota Headquarters in Plano, TX with onsite work Monday-Thursday and remote work on Fridays. What You’ll Be Doing
Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions. Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development. Develop and implement predictive and prescriptive models using statistical and machine learning techniques to address key business challenges and deliver actionable insights. Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders. Transition models from development to production within the organization’s cloud ecosystem. Participate in project planning and prioritization to ensure data initiatives align with business goals. Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions. What You Bring
Master’s degree or higher in a relevant analytical field. Hands-on experience building and optimizing data solutions using Python. Experience solving problems using a variety of statistical and machine learning techniques. Hands-on experience with frameworks such as statsmodels, scikit-learn, and PyTorch. Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks. Proactive approach to identifying problems and developing innovative solutions. Added bonus if you have
Experience with version control systems such as GitHub, and familiarity with CI/CD practices to streamline model deployment and code management. Hands-on experience with cloud-based ML platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources. Ability to lead through influence and navigate complex cross-departmental projects to drive impactful change. Capability to replace and bridge existing legacy infrastructure and processes. 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 including 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 with company match and an annual retirement contribution from Toyota 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 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 require any special accommodations? Please send an email to talent.acquisition@toyota.com. Seniority level
Not Applicable Employment type
Full-time Job function
Engineering and Information Technology Industries
Motor Vehicle Manufacturing, Appliances, Electrical, and Electronics Manufacturing, and Industrial Machinery Manufacturing
#J-18808-Ljbffr