Data Scientist

• Own the complete NBA delivery lifecycle, including strategy, design, development, testing, deployment, measurement, and ongoing optimization.
• Translate business objectives into actionable inclusion/exclusion criteria, targeting logic, and decision strategies.
• Develop and maintain SQL/Big Query-based data pipelines supporting campaign targeting, sizing, execution, and reporting.
• Build and enhance measurement frameworks to evaluate campaign effectiveness, business outcomes, and member engagement.
• Perform ad hoc analyses to identify optimization opportunities and support stakeholder decision-making.
• Configure and support NBA implementations within Pega, including launch readiness and process validation.
• Conduct campaign QA, operational monitoring, and issue resolution to ensure successful NBA execution.
• Partner with business, product, and technology teams to drive data-informed decisioning and recommendation strategies.
• Support experimentation and test-and-learn initiatives, including A/B testing and performance measurement.
• Leverage predictive models, AI/ML, and LLM-based inference capabilities where appropriate to improve decisioning effectiveness.

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• Advanced proficiency in:
• SQL
• Google Cloud Platform (GCP)
• Big Query
• Python
• Hands-on experience developing and managing Big Query pipelines and analytical workflows.
• Strong understanding of campaign targeting, audience segmentation, recommendation systems, and decision strategies.
• Experience designing and implementing measurement frameworks and performance analytics.
• Ability to translate complex business problems into scalable analytical solutions.
• Experience in healthcare analytics, member engagement, or payer organizations.
• Knowledge of experimentation methodologies, uplift modeling, ranking/recommendation systems, and product analytics.
• Exposure to machine learning and Generative AI/LLM inference use cases.
• Experience supporting operational campaign delivery and production decisioning environments.
• Experience with Pega Decisioning or related campaign orchestration platforms.
• Strong experience in Next Best Action (NBA), campaign management, decisioning, or customer engagement analytics.

Demonstrates expertise in SQL, Google Cloud Platform, and Big Query for developing data pipelines and analytical workflows. Proficient in campaign management, decision strategies, and measurement frameworks to drive data-informed decision‑making and optimize member engagement.

• SQL
• Google Cloud Platform (GCP)
• Big Query
• Next Best Action (NBA)
• Pega Decisioning

• Data Pipeline Development
• Analytical Workflows
• Campaign Targeting
• Audience Segmentation
• Performance Analytics
• Machine Learning
• Generative AI
• A/B Testing
• Optimization Analysis
• Decision Strategies

• Stakeholder Collaboration
• Problem Solving
• Communication

• Healthcare Analytics
• Member Engagement
• Payer Organizations
• Campaign Management
• Recommendation Systems

• Pega
• AI/ML Tools
• LLM-based Inference