Data Scientist

EXL•Dallas, TX

11d•Hybrid

About The Position

Data Scientist – AI Enabled Call Center Efficiency and CEX. We are seeking a highly motivated Sr. Data Scientist to lead end-to-end Next Best Action (NBA) strategy, delivery, and optimization initiatives. This role combines advanced analytics, business problem-solving, campaign decisioning, and operational ownership to drive personalized member engagement across lines of business. The ideal candidate will be equally comfortable with analytics and execution, owning the full NBA lifecycle—from strategy translation and targeting logic to deployment, measurement, and continuous optimization. The successful candidate will demonstrate: Strong business problem-solving capabilities alongside technical expertise. Ownership mentality for both analytics delivery and campaign operations. Ability to balance modeling and AI-driven insights (approximately 50%) with execution, delivery ownership, and NBA operations (approximately 50%). Excellent stakeholder communication and cross-functional collaboration skills.

Requirements

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)
BigQuery
Python
Hands-on experience developing and managing BigQuery 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.

Nice To Haves

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.

Responsibilities

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/BigQuery-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.