

Seneca Resources
PEGA Data Science and Analytics 16625
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Science Analyst position focused on Databricks, Python, and SQL, offering a 9–12 month contract in Vienna, VA (Hybrid). Requires 5–10 years of experience in Data Analytics and marketing analytics, with advanced technical skills. Pay rate is $50/hour (W2) or $58/hour (C2C).
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
464
-
🗓️ - Date
March 14, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Fairfax, VA
-
🧠 - Skills detailed
#Statistics #Distributed Computing #Libraries #Spark (Apache Spark) #Data Pipeline #Databricks #Mathematics #Scala #Pega #"ETL (Extract #Transform #Load)" #Data Analysis #Monitoring #PySpark #SQL (Structured Query Language) #Predictive Modeling #Consulting #Datasets #Computer Science #Data Science #Data Extraction #Data Engineering #ML (Machine Learning) #Python #Data Exploration
Role description
Position Title: Data Science Analyst – Databricks / Python / SQL
Location: Vienna, VA (Hybrid)
Clearance Requirements: None
Position Status: Contract (9–12 Months)
Pay Rate
• W2 (with 56 hours PTO): $50/hour
• C2C: $58/hour
Position 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.
Key Responsibilities
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.
Required Skills / Education
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)
About Seneca Resources
At Seneca Resources, we are more than just a staffing and consulting firm—we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.
When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide.
We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.
Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.
Position Title: Data Science Analyst – Databricks / Python / SQL
Location: Vienna, VA (Hybrid)
Clearance Requirements: None
Position Status: Contract (9–12 Months)
Pay Rate
• W2 (with 56 hours PTO): $50/hour
• C2C: $58/hour
Position 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.
Key Responsibilities
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.
Required Skills / Education
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)
About Seneca Resources
At Seneca Resources, we are more than just a staffing and consulting firm—we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.
When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide.
We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.
Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.






