Teradata ML Data Scientist with Clear Scape Analytics (...

Role Overview:The Financial Forecasting Analytics Resource will utilize Teradata Clearscape capabilities to develop machine learning models that provide accurate forecasts to support key financial decisions. You will partner closely with business stakeholders to understand requirements and translate them into analytical solutions. An initial focus will be developing a machine learning model to forecast annual product renewal units at the individual product level.Primary Responsibilities:Collaborate with finance leaders and business partners to understand forecasting challenges and requirementsLeverage Teradata Clearscape platform to develop, test, and deploy machine learning models that provide accurate financial forecastsStart by building a forecasting model for annual product renewal units at the product level, demonstrating flexibility and adaptability of the platformEvaluate multiple modeling techniques including time series, regression, and neural networks to deliver the most accurate forecastsMonitor and enhance models over time to adapt to changing business conditions and improve predictive accuracyPackage analytical solutions into easy-to-use tools and applications tailored to business user needsClearly communicate analytical methodology, results, and insights to key stakeholdersConduct knowledge transfer sessions to educate internal engineering teams on model development and usageThoroughly document modeling approach, code, and results to support knowledge transferRequired Skills/Experience:5+ years' experience in advanced analytics and machine learning, specifically Teradata ClearscapeProficiency in Python, R, or other analytical programming languagesExperience building, validating, and deploying machine learning modelsKnowledge of time series analysis and forecasting techniquesFinancial industry experience a plusExcellent communication and collaboration skillsRequired Skills : AI Basic Qualification : Additional Skills : Background Check : No Drug Screen : No

Created: 2026-04-02