Pega Data Science & Analytics - Pega CDH , Databricks, SQL, Pyspark Required ---- Open to both Remote or Hybrid

To enable and simplify analysis required for faster implementation of new CDH modeling features

Prioritized Deliverables

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

1. 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)

Looking for a candidate with 5-10 years of experience + Master’s degree and 1-2 years of strong data science and coding experience.

$60/hr to $70/hr, We offer a comprehensive benefits package including medical, dental, vision, and disability insurance; 401(k).

About Zillion Technologies

51-200, Zillion Technologies, Inc. (Zillion) provides global expertise in innovative technology, services, and consulting that helps our clients to reach beyond what they think is possible. Since its inception in 2002, Zillion has become one of the fastest-growing companies in the Washington DC metro region. It is a leading provider of contemporary and reliable IT solutions backed by proficient and highly-professional individuals.