Contractor - Marketing & Communications

Ampcus, Inc; Merrifield (VA); On-site; USD 82,656,000 - 123,984,000; Full time

Job summary

Ampcus Inc. seeks a highly motivated data scientist for a 6-9 month contract with hybrid and possibly remote options in Merrifield, VA. Candidates should have 5-10 years of data science experience and possess a Master's degree.

Proficiency in Python/PySpark, SQL, and Databricks is required; Pega CDH is a plus. The role focuses on enabling analysis for faster CDH modeling feature implementations, including notebooks, data retrieval standardization, and performance mappings.

Qualifications

• Master's degree required with 5–10 years of data science experience.
• Strong coding background and analytics for modeling features.
• Experience with Databricks and cloud data tools is preferred.

Responsibilities

• Develop library of queries/scripts to replicate CDH customer context in external systems.
• Standardize data retrieval steps for broader team use.
• Create notebooks to answer questions like distribution, arbitration, and channel engagement.
• Support model health and ongoing monitoring through data-driven analyses.
• Collaborate with team to map interactions to model performance and outcomes.

Skills

Python

PySpark

SQL

Databricks

Pega CDH

Education

Master's degree

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Contract Details

6-9 month contract, open to hybrid and possibly remote arrangements. Candidates should have 5-10 years of experience and a Master's degree, alongside 1-2 years of strong data science and coding experience.

Job Responsibilities

The role focuses on enabling and simplifying analysis required for faster implementation of new CDH modeling features. Key deliverables include:

• Library of required queries/scripts to replicate the CDH customer contextual object in external systems (Databricks/ASL) for deeper analysis.


• Standardizing format for executing key data retrieval steps for use by the broader team, including:
  
  
  
  • 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, such as:
  
  
  
  • Distribution Analysis.
  
  
  • Arbitration Analysis.
  
  
  • Channel Engagement Analysis.
  
  
  
  

Required Skillset

Candidates should have familiarity with the Databricks environment and proficiency with Python/PySpark and SQL. Pega CDH experience is preferred.

Examples of Work

• Initial Analysis to Support New Model Related Features:
  
  
  
  • Propensity Thresholds:
    
    
    
    • Creating the back-testing approach.
    
    
    • Establishing baseline KPIs.
    
    
    • Creating the monitoring approach.
    
    
    
    
  
  
  • Initial Model Maturity Analysis:
    
    
    
    • Establishing baseline KPIs.
    
    
    • Gauging the impact of enabling the feature.
    
    
    • Creating the ongoing monitoring approach.
    
    
    
    
  
  
  
  


• On-going Analysis:
  
  
  
  • Model Performance Monitoring: Involvement in creating new logic when changes are needed.
  
  
  • NBI Program Model Health: Improving the state of current models for broader sharing.
  
  
  
  

Broader Analytical Gaps

Addressing analytical gaps that should be readily available:

• "Actionable Monitoring Data": Standardizing analysis for consistency, including:
  
  
  
  • Capturing when propensity scores are exceptionally low closer to real-time (1 day).
  
  
  • Capturing when actions are not providing value to their intended objective (acquisition, engagement).
  
  
  
  


• Eligible Audience Monitoring:
  
  
  
  • Identifying Members eligible for different actions/treatments.
  
  
  • Tying interactions back to key Member demographic data for more granular analysis.
  
  
  
  

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.