Note: The job is a remote job and is open to candidates in USA. Zillion Technologies, Inc. is seeking a Pega Data Science & Analytics professional for a role that can be remote or hybrid. The primary purpose of this position is to enable analysis for faster implementation of new CDH modeling features, requiring expertise in Databricks, SQL, and Python/PySpark.
Responsibilities
- To enable and simplify analysis required for faster implementation of new CDH modeling features
- Library of required queries/scripts to replicate the CDH customer contextual object in external systems (databricks/asl) for deeper analysis
- Standardize format for executing key data retrieval steps for use by the broader team
- Interaction to outcome attribution (account opens)
- Model data to interaction mapping (model performance, predictor performance)
- Member Profile to interaction mapping
- Create notebooks for the broader team to use to answer specific questions
- Distribution Analysis
- Arbitration Analysis
- Channel Engagement Analysis
- Initial Analysis to Support New Model Related Features
- Creating the back-testing approach (MDSA had no appetite at the time)
- Establishing baseline KPIs
- Creating the monitoring approach
- Initial Model Maturity Analysis (though Morgan’s team is starting to be involved)
- Gauging the impact of enabling the feature
- Creating the ongoing monitoring approach
- On-going Analysis
- 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
- NBI Program Model Health
- 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
- Capture when propensity scores are exceptionally low closer to real-time (1 day)
- Capture when actions are not providing value to their intended objective (acquisition, engagement)
- Identifying Members eligible for different actions/treatments
- Tying interactions back to key Member demographic data for more granular analysis
Skills
- 5-10 years of experience
- Master's degree
- 1-2 years of strong data science and coding experience
- Familiarity with the databricks environment
- Proficiency with Python/PySpark
- Proficiency with SQL
- Pega CDH experience is preferred
Benefits
- Comprehensive benefits package including medical, dental, vision, and disability insurance
- 401(k)
Company Overview