Note: The job is a remote job and is open to candidates in USA. System One is a company seeking a Pega Data Science and Analytics professional. The role involves creating and standardizing data queries and notebooks for analysis, as well as monitoring model performance and establishing KPIs.
Responsibilities
- 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
- 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
- “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 (simulation environment can help after going live to a certain extent)
- Tying interactions back to key Member demographic data for more granular analysis (this sort of analysis should be standardized so it can easily be done by all Members of O&A)
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
Company Overview