PEGA Data Science and Analytics 16625

Key Responsibilities

• Data Engineering & Analytical Development
• 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.
• Conduct distribution analysis, arbitration analysis, and channel engagement analysis to improve marketing effectiveness.
• Model Performance Monitoring & Optimization
• Aid in 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.
• 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

Seneca Resources is a trusted career partner that provides opportunities for professionals to grow their careers while making an impact. We invest in our employees' success, celebrate their achievements, and connect them to meaningful work with leading organizations nationwide. Seneca Resources is committed to fostering a diverse and inclusive workplace and is an Equal Opportunity Employer.