Teradata ML Data Scientist with Clear Scape Analytics (REMOTE)

Codetech • Scottsdale, AZ

2d • Remote

About The Position

The Financial Forecasting Analytics Resource will use Teradata ClearScape capabilities to develop machine learning models that provide accurate forecasts and support key financial decisions. The role partners with business stakeholders to understand requirements and translate them into analytical solutions. An initial focus is forecasting annual product renewal units at the individual product level. The work includes evaluating modeling approaches, deploying and improving models, packaging analytical solutions for business users, and documenting and communicating the work to stakeholders and internal engineering teams.

Requirements

• At least 5 years of experience in advanced analytics and machine learning, specifically with 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.
• Excellent communication and collaboration skills.

Nice To Haves

• Financial industry experience.

Responsibilities

• Collaborate with finance leaders and business partners to understand forecasting challenges and requirements.
• Use the Teradata ClearScape platform to develop, test, and deploy machine learning models for financial forecasting.
• Build an initial model to forecast annual product renewal units at the product level and demonstrate the platform’s flexibility and adaptability.
• Evaluate time series, regression, neural network, and other modeling techniques to identify approaches that deliver accurate forecasts.
• Monitor and enhance models to respond to changing business conditions and improve predictive accuracy.
• Package analytical solutions into easy-to-use tools and applications tailored to business users.
• Communicate analytical methodology, results, and insights to key stakeholders.
• Conduct knowledge transfer sessions to educate internal engineering teams about model development and usage.
• Document modeling approaches, code, and results to support knowledge transfer.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed