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 business problems Pega Customer Decision Hub™ can solve and discover how Pega's omni-channel artificial intelligence (AI) delivers the right action during every customer interaction.
Gain a greater understanding of the key features, capabilities, and benefits of Prediction Studio.
Complete the certification exam to solidify your expertise as a Pega Data Scientist.Register for exam
Find your area of expertise
Familiarize yourself with the one-to-one customer engagement paradigm and discover how Pega omni-channel AI delivers the right action during every customer interaction.
Learn how to put your models to work and how to enable self-learning adaptive models to increase the efficiency and the effectiveness of case management.
se Pega NLP to analyze and extract meaningful information from text by using text analytics to improve business performance and customer experience.