Toyota Financial Services is seeking to expand its Data Science practice by hiring multiple Data Scientists to help solve business challenges through computational science, predictive modeling, and business consulting.
Requirements
- 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.
- Experience with identifying problems and developing innovative solutions.
- 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.
Responsibilities
- 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.
- 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.
- Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.
- Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
- Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
Other
- Master’s degree or higher in a relevant analytical field.
- Experience working in a data science role outside of a degree-seeking academic program.
- 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.
