About the role
Data Scientists design, maintain, deploy, and refresh the predictive analytics assets used by the Next-Best-Action decision engine. They also source data from the master systems.
Check out the most important knowledge areas for a career as a Data Scientist.
Prepare and analyze modeling data. Assess the quality and value of modeling data sources.
Predictions and models
Develop, monitor, and maintain predictive and adaptive models.
Support performance reporting and analysis of the predictions.
Develop new models and replace the existing ones in production.
Start your future as a Data Scientist: explore a curated list of resources to get you up and running in no time.
Learn about the 1:1 Customer Engagement paradigm and the functionalities of Pega AI. See how to optimize adaptive models and use predictive models. Learn to update predictions with the MLOps process.
Learn how to put your models to work and how to enable self-learning adaptive models using Pega Process AI.
Understand the key features and benefits of Pega Natural Language Processing (NLP). Use Pega NLP to analyze and extract meaningful information from text.