Teradata ML Data Scientist With Clear Scape Analytics

Primary Responsibilities

• Collaborate with finance leaders and business partners to understand forecasting challenges and requirements
• Leverage Teradata Clearscape platform to develop, test, and deploy machine learning models that provide accurate financial forecasts
• Start by building a forecasting model for annual product renewal units at the product level, demonstrating flexibility and adaptability of the platform
• Evaluate multiple modeling techniques including time series, regression, and neural networks to deliver the most accurate forecasts
• Monitor and enhance models over time to adapt to changing business conditions and improve predictive accuracy
• Package analytical solutions into easy-to-use tools and applications tailored to business user needs
• Clearly communicate analytical methodology, results, and insights to key stakeholders
• Conduct knowledge transfer sessions to educate internal engineering teams on model development and usage
• Thoroughly document modeling approach, code, and results to support knowledge transfer

Required Skills/Experience

• 9+ years’ experience in advanced analytics and machine learning, specifically Teradata Clearscape
• Proficiency in Python, R, or other analytical programming languages
• Experience building, validating, and deploying machine learning models
• Knowledge of time series analysis and forecasting techniques
• Financial industry experience a plus
• Excellent communication and collaboration skills