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.
Get certified
Complete the certification exam to solidify your expertise as a Robotics System Architect.
Find your area of expertise
Pega offers specializations and additional training, badges, and certifications to add options to your growing career. Gain expertise to make your skills as unique and focused as you.
Recently published
Stay up to date with latest trainings, keep an eye on trending topics, or discover newest expert-curated blogs for the Data Scientist role.
Training
Latest Missions
Latest Modules
Latest Challenges
Videos
PegaWorld Keynote Replay: AI Did Not Write This: How Self-optimizing AI is Changing Business
Hear Pega’s GM for 1:1 Customer Engagement, Dr. Rob Walker, break down the fast-changing potential of AI in personalization and customer engagement. Learn how generative AI boosts the already…
Pega 8.7 Update: What's New in Customer Decision Hub
Join Matt Nolan, Pega's Senior Director of Product Marketing, and Shoel Perelman, Vice President, 1:1 Customer Engagement, as they discuss all the new features of Customer Decision Hub 8.7.
View…
Blogs
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