Data Scientist

EXL Service; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

EXL Service in Dallas, TX seeks a data science professional to lead Next Best Action campaigns end-to-end, from strategy to optimization. You will translate business goals into targeting rules, build SQL/BigQuery pipelines, and measure outcomes across campaigns and member engagement.

The role requires strong SQL, GCP, BigQuery, and Python skills, plus experience with Pega decisioning and experimentation. You will collaborate with cross-functional teams to drive data-informed decisions.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• Proficiency in SQL.
• Experience with Google Cloud Platform (GCP).
• Expertise with BigQuery.
• Python programming skills.
• Hands-on experience designing 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.

Responsibilities

• Lead the complete Next Best Action delivery lifecycle, from strategy and design through development, testing, deployment, measurement, and ongoing optimization.
• Translate business objectives into actionable inclusion and exclusion criteria, targeting logic, and decision strategies.
• Develop and maintain SQL and BigQuery based data pipelines to support campaign targeting, sizing, execution, and reporting.
• Build and refine measurement frameworks to evaluate campaign effectiveness, business outcomes, and member engagement.
• Conduct ad hoc analyses to uncover optimization opportunities and inform stakeholder decisions.
• Configure and support NBA implementations within Pega, ensuring launch readiness and process validation.
• Perform campaign QA, monitor operations, and resolve issues to ensure successful NBA execution.
• Collaborate 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 where appropriate to enhance decisioning effectiveness.

Education

Data science degree

Tools

SQL

Google Cloud Platform

BigQuery

Python

Pega

Job description

Responsibilities

• Lead the complete Next Best Action delivery lifecycle, from strategy and design through development, testing, deployment, measurement, and ongoing optimization.
• Translate business objectives into actionable inclusion and exclusion criteria, targeting logic, and decision strategies.
• Develop and maintain SQL and BigQuery based data pipelines to support campaign targeting, sizing, execution, and reporting.
• Build and refine measurement frameworks to evaluate campaign effectiveness, business outcomes, and member engagement.
• Conduct ad hoc analyses to uncover optimization opportunities and inform stakeholder decisions.
• Configure and support NBA implementations within Pega, ensuring launch readiness and process validation.
• Perform campaign QA, monitor operations, and resolve issues to ensure successful NBA execution.
• Collaborate 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 where appropriate to enhance decisioning effectiveness.

Requirements

• Bachelor\'s or Master\'s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• Proficiency in SQL
• Experience with Google Cloud Platform (GCP)
• Expertise with BigQuery
• Python programming skills
• Hands-on experience designing 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

Technologies

• SQL
• Google Cloud Platform (GCP)
• BigQuery
• Python
• Pega

Preferred Qualifications

• 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 and 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 NBA, campaign management, decisioning, or customer engagement analytics