Analyst, Data Science

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profile Job Location:

Plano, TX - USA

profile Monthly Salary: Not Disclosed
Posted on: 21 hours ago
Vacancies: 1 Vacancy

Job Summary

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 worlds 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. Were 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 Toyotas vision to move people beyond whats possible. At TFS you will help create best-in-class customer experience in an innovative collaborative environment.

This position is based in Plano TX with a hybrid mix of some in-office time and some remote work.

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.

Who were looking for:

This role is ideal for someone who will thrive working at the intersection of computational science predictive modeling and business consulting. The ideal candidate will have knowledge of analysis manipulation and cleaning of data building predictive and prescriptive models using a variety of theoretical and computational techniques extract insights from models to help inform business decisions and present results and recommendations to various business partners and leaders. If you have a desire for end-to-end data solutions and enjoy working in a dynamic collaborative setting you could be the perfect fit for our team.

What youll be doing

  • Hands-on experience with tools such as Python or R.

  • Using statistical and machine learning techniques to solve problems.

  • Linear Regression Logistic Regression Time Series Analysis Experimental Design Generalized Linear Models Mixed Modeling Multivariate Statistics Large-Scale Predictive Modeling CHAID/decision trees Gradient Boosted Trees Random Forests and Neural Networks.

  • Pursue your development in Data Science

What you bring

  • Bachelors degree or higher in a relevant analytical field.

  • Knowledge of or exposure to building and optimizing data solutions using Python.

  • Knowledge of or exposure to solving problems using a variety of statistical and machine learning techniques.

  • Knowledge of or exposure to using statistical or machine learning frameworks to solve a variety of real-world problems (e.g. statsmodels scikit-learn 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

  • Masters degree in relevant analytical field.

  • 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 machine learning platforms (e.g. AWS SageMaker or Azure ML) to leverage scalable computing resources and tools.

  • Demonstrated ability to lead through influence effectively navigating and prioritizing complex cross-departmental projects to drive impactful change.

  • Capability to replace and bridge existing legacy infrastructure and processes.

What well 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.

  • Flextime and hybrid 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.

  • Flexible spending accounts.

  • Relocation assistance (if applicable).

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 .


Required Experience:

IC

OverviewWho we areCollaborative. 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 worlds most admired brands Toyota is growing and leading the future of mobility through innovative high-quality solutions designed to enhance live...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

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