Vibotek LLC · 3 months ago
Teradata ML Data Scientist With Clear Scape Analytics
Scottsdale, AZ
Full-time
Onsite
Senior Level, Lead/Staff
9+ years expVibotek LLC is seeking a Teradata ML Data Scientist with Clear Scape Analytics to develop machine learning models for financial forecasting. The role involves collaborating with business stakeholders to create analytical solutions and enhancing forecasting models over time to ensure accuracy in financial decision-making.
Information Technology & Services
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
Qualification
Required
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
Excellent communication and collaboration skills
Preferred
Financial industry experience a plus
Company
Vibotek LLC
We screen and shortlist candidates before presenting to our clients. Therefore reducing hiring time and cost.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase