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# PEGA Data Science & Analytics

- **Company:** Inspyr Solutions
- **Location:** Vienna, VA, United States
- **Experience:** Starter
- **Contract:** Temporary contract
- **Skills:** Computer Programming, Data Retrieval, Python (Programming Language), SQL Databases, Pega, Model Validation, Pyspark, Databricks
- **Published:** August 8, 2026
- **Apply:** https://www.dice.com/job-detail/46485a1e-c8f2-4767-8af7-0da5dd520e53

## About the Role

To enable and simplify analysis required for faster implementation of new CDH modeling features. Looking for a candidate with 5-10 years of experience + Master''s degree and 1-2 years of strong data science and coding experience.

## Description

1. Library of required queries/scripts to replicate the CDH customer contextual object in external systems (databricks/asl) for deeper analysis
 2. Standardize format for executing key data retrieval steps for use by the broader team
a. Interaction to outcome attribution (account opens)
b. Model data to interaction mapping (model performance, predictor performance)
c. Member Profile to interaction mapping

 3. Create notebooks for the broader team to use to answer specific questions
a. Distribution Analysis
b. Arbitration Analysis
c. Channel Engagement Analysis
Skillset:
The primary technical skills required would be familiarity with the databricks environment and proficiency with Python/PySpark and SQL. Pega CDH experience is preferred.
Some examples of the work as it directly relates to GEM

 * Initial Analysis to Support New Model Related Features
o Propensity Thresholds

 * Creating the back-testing approach (MDSA had no appetite at the time)
 * Establishing baseline KPIs
 * Creating the monitoring approach
o Initial Model Maturity Analysis (though Morgan's team is starting to be involved)

 * Establishing baseline KPIs
 * Gauging the impact of enabling the feature
 * Creating the ongoing monitoring approach
 * On-going Analysis
o Model Performance Monitoring

 * Though MDSA owns the code to run the notebooks, when changes must be made to the code GEM is heavily involved in creating the new logic
o NBI Program Model Health

 * This exists in some form today, but it is not in a state that is readily available to be shared with leaders in O&A, MDSA, or broader Marketing

Broader O&A Analytical Gaps: (Things Red, Sumant, and Tai typically scramble to create which should be readily available)

 * "Actionable Monitoring Data:" Standardizing how we conduct this sort of analysis for consistency
o Capture when propensity scores are exceptionally low closer to real-time (1 day)
o Capture when actions are not providing value to their intended objective (acquisition, engagement)

 * Eligible Audience Monitoring
o Identifying Members eligible for different actions/treatments (simulation environment can help after going live to a certain extent)


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