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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Toyota Motor Sales, U.S.A., Inc. - **Location:** Plano, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Artificial Neural Networks, Cloud Computing, Continuous Integration, Data Systems, Data Visualization, Github, Python (Programming Language), Logistic Regression, Machine Learning, Tensorflow, Azure Machine Learning, SQL Databases, Pytorch, Scikit Learn, Machine Learning Operations, Software Version Control - **Published:** June 27, 2026 - **Apply:** https://www.juju.com/job/00000000gbp5cg ## About the Role Toyota Financial Services is seeking highly motivated people to fill multiple Data Scientists openings to help our growing Data Science practice. 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 excel at 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. Additionally, the ideal candidate will also possess the technical expertise to help transition models from development to production and deploy them efficiently. If you have a passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team., + Master's degree or higher in a relevant analytical field. + Hands-on experience building and optimizing data solutionsusing 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. ## Description + 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 toolsand integrate this knowledge to improve methodologies and solutions. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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