• 
  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 sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.

• Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.

• Effectively and efficiently transition models from development to production within the organization’s existing cloud ecosystem.

• Participate actively in project planning and prioritization sessions 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 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

• 
  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 in Data Science outside of a degree-seeking academic 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.

• Paid holidays and paid time off

• Referral services related to prenatal services, adoption, childcare, schools and more.

• Tax Advantage Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)