Teradata ML Data Scientist with Clear Scape Analytics (REMOTE)

QBA Worldwide; Scottsdale (AZ); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company is seeking a Teradata ML Data Scientist to develop machine learning models for financial forecasting. This remote role involves collaborating with finance leaders, utilizing advanced analytics, and deploying solutions that support key financial decisions. Candidates should have significant experience in machine learning and strong programming skills, particularly in Python or R.

Qualifications

• 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.

Responsibilities

• Collaborate with finance leaders to understand forecasting challenges.
• Leverage Teradata Clearscape to develop and deploy machine learning models.
• Monitor and enhance models to improve predictive accuracy.

Skills

Advanced analytics

Machine learning

Python

R

Time series analysis

Forecasting techniques

Communication

Collaboration

Job description

Teradata ML Data Scientist with Clear Scape Analytics (REMOTE)

Get AI-powered advice on this job and more exclusive features.

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

1. Collaborate with finance leaders and business partners to understand forecasting challenges and requirements
2. Leverage Teradata Clearscape platform to develop, test, and deploy machine learning models that provide accurate financial forecasts
3. Start by building a forecasting model for annual product renewal units at the product level, demonstrating flexibility and adaptability of the platform
4. Evaluate multiple modeling techniques including time series, regression, and neural networks to deliver the most accurate forecasts
5. Monitor and enhance models over time to adapt to changing business conditions and improve predictive accuracy
6. Package analytical solutions into easy-to-use tools and applications tailored to business user needs
7. Clearly communicate analytical methodology, results, and insights to key stakeholders
8. Conduct knowledge transfer sessions to educate internal engineering teams on model development and usage
9. 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