Teradata ML Data Scientist

Job Description

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 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:

• 5+ 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