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# PEGA Data Science and Analytics 16625

- **Company:** Seneca Resources
- **Location:** Vienna, VA, United States
- **Experience:** Expert
- **Salary:** $170,000.0 - $185,000.0
- **Contract:** Temporary contract
- **Skills:** Business Analytics Applications, Data Analysis, Big Data, Information Engineering, Data Mining, Data Retrieval, Database Queries, Decision Support Systems, Distributed Systems, Python (Programming Language), Machine Learning, Marketing Information Systems, Standard Sql, SQL Databases, Pega, Model Validation, Pyspark, Information Technology, Data Analytics, Build Tools, Data Pipelines, Databricks
- **Published:** July 13, 2026
- **Apply:** https://www.careerjet.com/jobad/us4fcbf08789d79355e46653f7f683d163

## About the Role

Technical Skills
5-10 years of experience in Data Analytics, Data Science, or Marketing Analytics
Strong experience with Databricks
Advanced proficiency in Python and PySpark
Strong SQL skills for data extraction, transformation, and analysis
Experience building data notebooks, query libraries, and analytical pipelines
Experience performing data analysis, statistical analysis, and model performance monitoring
Preferred Skills
Experience with Pega Customer Decision Hub (CDH) or decisioning platforms
Experience supporting marketing analytics or customer engagement analytics
Familiarity with predictive modeling workflows and machine learning evaluation
Experience working with large-scale datasets in distributed computing environments
Education
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field (or equivalent experience)

## Description

We are seeking a Data Science Analyst with strong Databricks, Python/PySpark, and SQL expertise to support advanced marketing data science and customer decisioning initiatives.
In this role, you will work closely with data scientists, marketing analytics teams, and decisioning platform stakeholders to enable faster implementation of Customer Decision Hub (CDH) modeling features, enhance data analysis capabilities, and build scalable analytical frameworks within Databricks.
This position plays a critical role in developing data pipelines, analytical notebooks, and reusable query libraries that enable teams to perform deeper analysis around customer engagement, predictive models, and marketing performance.
The ideal candidate is passionate about data-driven decision making, model performance monitoring, and building scalable analytical tools that empower broader teams to extract insights from complex datasets., Data Engineering & Analytical Development
Build and maintain query libraries and scripts to replicate CDH customer contextual objects within external analytics environments such as Databricks.
Develop reusable Python, PySpark, and SQL notebooks to enable scalable data exploration and analytics across teams.
Standardize data retrieval processes and analytical workflows to improve efficiency and consistency across the analytics organization.
Marketing & Customer Decisioning Analytics
Support analysis related to customer interactions, engagement performance, and marketing model outcomes.
Map model outputs to customer interactions to analyze predictor performance, model effectiveness, and engagement outcomes.
Conduct distribution analysis, arbitration analysis, and channel engagement analysis to improve marketing effectiveness.
Model Performance Monitoring & Optimization
Assist with back-testing methodologies and KPI baseline creation for new modeling features.
Support ongoing model performance monitoring and contribute to updates in analytical logic and monitoring frameworks.
Analyze propensity scores, model maturity, and feature adoption impact to support decision-making.
Operational Analytics & Insights
Create standardized analytical frameworks for actionable monitoring data and operational insights.
Develop methods to detect when customer actions are not achieving intended objectives such as acquisition or engagement.
Build tools to monitor eligible audiences and campaign targeting effectiveness., Drives meaningful business impact by transforming complex data into strategic insights and high-leverage recommendations. This role partners closely with cross-functional teams to …

 + 14 days ago


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