Teradata ML Data Scientist with Clear Scape Analytics, Arizona

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