Data Scientist

Company:
Location: Plano, TX 75023

*** Mention DataYoshi when applying ***

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 diverse, 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 experiences in an innovative, collaborative environment.

Who We're Looking For

Toyota Financial Services (TFS) is looking for a passionate and highly motivated Data Science Consultant.

The primary responsibility of this role is to provide data science oversight and support to one of several possible areas. Areas of support may focus on an individual area or span multiple areas, including but not limited to: Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections; as well as horizontal functions like Finance & HR; or associated business including Insurance and Manufacturing. The incumbent will balance hands-on model development activities with providing direction to the business. They will deliver projects and outcomes through others, whether in their direct management line or as a leader of an individual project.

Specific responsibilities include extracting and linking data from company systems, manipulating, and cleaning the results, building predictive and prescriptive models to extract insights, and presenting the findings and recommendations to business partners and leaders across the business.

What You'll Be Doing

  • Partner with the business to identify the most important questions that need to be answered about our customers and their value.

  • Hands-on data extraction and data wrangling from internal and external systems using SAS, SQL, Python, R, etc.

  • Analysis and model building using advanced analytics tools and techniques using statistical software packages like SAS, Python, R, etc.

  • Develop, manage, and deploy analytic solutions using statistical software packages like SAS, R, Python, etc.

  • Build PowerPoint presentations to recommend business decisions.

  • Create output and or results that visualize findings using fixed reports and or tools like Tableau/Power BI

  • Develop analytical project plans and integrate inflows and outflows of information with teams upstream and downstream from analytical efforts.

  • Attend and participate (where appropriate) in various project planning and prioritization sessions.

  • Build cutting-edge analytical capabilities.

  • Mentor junior analysts in utilizing data to solve business problems.

What You Bring

  • Masters or higher degree in a heavily analytical discipline

  • Progressive years of experience in the Data Science space.

  • Advanced hands-on experience with tools such as Tableau, R, Python (NumPy/Pandas), scikit-learn, and/or SAS.

  • Experience in using a variety of statistical and machine learning techniques to solve problems.

  • Exposure and familiarity with topics like 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.

  • Strong problem-solving skills.

  • Strong analytical abilities and ability to interpret large amounts of data.

  • Proficiency in one or more coding languages (SAS, R, Python)

  • Ability to quickly learn new software tools and coding languages.


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.

  • Flexible spending accounts

  • 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.

Have a question or need assistance with your application? Check out the How to Apply section of our careers page on Toyota.com.

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.

*** Mention DataYoshi when applying ***

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