Tallo logoTallo logo

PEGA Data Science and Analytics 16625

Job

Seneca Resources

Remote

$112,320 Salary, Full-Time

Posted 8 weeks ago (Updated 7 weeks ago) • Actively hiring

Expires 5/27/2026

Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
78
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Back PEGA Data Science and Analytics 16625 Information Technology Fairfax , Virginia Contract Mar 13, 2026
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 C2
C:
$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. Apply Now Share This Post

Similar remote jobs

Similar jobs in Fairfax, VA

Similar jobs in Virginia