
PEGA DEVELOPERS
Data Scientist
Data and modelling expert



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.
Knowledge areas
Check out the most important knowledge areas for a career as a Data Scientist.
Data preparation
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.
Continuous monitoring
Support performance reporting and analysis of the predictions.
MLOps
Develop new models and replace the existing ones in production.
Learning Essentials
Start your future as a Data Scientist: explore a curated list of resources to get you up and running in no time.

MISSION
Pega Customer Decision Hub Foundation
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.

MISSION
Data Scientist
Gain a greater understanding of the key features, capabilities, and benefits of Prediction Studio.
Get certified
Complete the certification exam to solidify your expertise as a Pega Data Scientist.
Register for examFind your area of expertise
SPECIALIZATION OPTION
AI for 1:1 Customer Engagement
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.
SPECIALIZATION OPTION
Pega Process AI Essentials
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.
SPECIALIZATION OPTION
Pega NLP Essentials
se Pega NLP to analyze and extract meaningful information from text by using text analytics to improve business performance and customer experience.
Recently published
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or discover newest expert-curated blogs for the Data Scientist role.