Toyota

Data Scientist

Toyota$110K — $130K *
Plano, TX 75025In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or higher in a relevant analytical discipline.
  • Experience developing and optimizing analytical solutions using Python.
  • 3+ years applying statistical and machine learning techniques to business problems.
  • Experience with frameworks like statsmodels, scikit-learn, or PyTorch.
  • Knowledge of logistic regression, time series analysis, decision trees, and neural networks.
  • Strong problem-solving skills and proactive in identifying improvement opportunities.

Responsibilities

  • Lead efforts to define and solve high-impact business questions collaboratively.
  • Extract, transform, and prepare data using SQL and Python for analysis and model development.
  • Design and develop predictive and prescriptive models for complex business challenges.
  • Create visualizations and presentations to communicate findings to diverse audiences.
  • Transition models from development to production in the cloud environment.
  • Contribute to project planning discussions aligning analytics with business objectives.
  • Stay updated on industry trends to enhance analytical solutions.

Benefits

  • Work environment emphasizing teamwork, flexibility, and respect.
  • Professional growth programs and tuition reimbursement for career advancement.
  • Vehicle purchase discounts for team members.
  • Comprehensive family healthcare and wellness plans.
  • 401(k) savings plan with company match and annual contributions.
  • Paid holidays and time off.
  • Referral services for family and childcare needs.
  • Tax-advantaged accounts for health and dependent care expenses.
  • Relocation assistance for eligible candidates.
Full Job Description
Overview

Who we're looking for:

Toyota Financial Services is seeking highly motivated people to fill multiple Data Scientists openings to help our growing Data Science practice. This role to be filled as an individual contributor, with scope aligned to the candidate's level of experience.

This role is well suited for an individual who thrives at the intersection of advanced analytics, predictive modeling, and business advisory. The successful candidate will bring strong technical and analytical capabilities to data preparation, model development, and insight generation, with the ability to translate complex analytical results into clear recommendations for business leaders and partners. In addition, the role requires the technical expertise to support the transition of models from development into production within an established cloud environment. If you are passionate about delivering end-to-end analytical solutions in a collaborative and dynamic setting, this opportunity may be an excellent fit.

What you'll be doing
  • Lead efforts with team members and business stakeholders to define, prioritize, and solve high-impact business questions that drive data-informed decision-making.
  • Own the extraction, transformation, and preparation of data from diverse sources using SQL and Python to support advanced analysis and model development at scale.
  • Design, and develop predictive and prescriptive models using statistical and machine learning methods to address complex business challenges and deliver actionable insights.
  • Create clear, compelling visualizations and executive-level presentations to communicate findings and recommendations to both technical and non-technical audiences.
  • Lead the transition of models from development to production within the organization's cloud ecosystem, ensuring solutions are robust, scalable, and operationally effective.
  • Contribute to strategic project planning and prioritization discussions, helping align analytical efforts with broader business objectives.
  • Stay current on industry trends, tools, and emerging methodologies, and apply relevant advancements to continuously improve analytical approaches and solutions.


What you bring
  • Master's degree or higher in a relevant analytical discipline.
  • Demonstrated experience developing and optimizing analytical solutions using Python.
  • 3+ years of hands- on experience applying statistical and machine learning techniques to solve complex business problems.
  • Hands-on experience with statistical or machine learning frameworks such as statsmodels, scikit-learn, or PyTorch.
  • Working knowledge of methods such as logistic regression, time series analysis, GLMs, mixed modeling, multivariate statistics, decision trees, gradient-boosted trees, random forests, and neural networks.
  • Strong problem-solving skills and a proactive approach to identifying opportunities for improvement and innovation.


Added bonus if you have
  • PHD in a quantitative or technical discipline (CS, Engineering, Data Science, Statistics, Mathematics, Operations Research, etc.)
  • 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.
  • Experience working with Data Science outside of a degree-seeking program.


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 (if applicable)
  • 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)


About Toyota

Toyota Motor Corporation is a Japanese multinational automotive manufacturer headquartered in Toyota City, Aichi, Japan. The company was founded in 1937 by Kiichiro Toyoda and has since grown to become the world's largest automotive manufacturer. Toyota Motor Corporation produces a wide range of vehicles including cars, trucks, and buses. The company is committed to sustainability and has set a goal of achieving zero carbon emissions by 2050. Toyota Motor Corporation has operations in over 170 countries and regions around the world.
Learn more about Toyota
Size
372,817 employees
Market Cap
$225.1 billion
Industry
Net Income
$1,531.2 billion
Founded
1937
5 Year Trend
+2.6%
Revenue
$26,625.1 billion
NASDAQ

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