Data Scientist

EXL

Data Scientist leading end-to-end Next Best Action strategy and optimization initiatives for member engagement. Combining analytics, problem-solving, and campaign decisioning in hybrid setup.

Posted 7/25/2026full-timeJersey City • New Jersey • 🇺🇸 United StatesMid-LevelSenior💰 $70,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL, Google Cloud Platform, and BigQuery 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.

Highest-signal resume keywords

SQLGoogle Cloud Platform (GCP)BigQueryNext Best Action (NBA)Pega Decisioning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentAnalytical WorkflowsCampaign TargetingAudience SegmentationPerformance AnalyticsMachine LearningGenerative AIA/B TestingOptimization AnalysisDecision Strategies

Soft Skills

Stakeholder CollaborationProblem SolvingCommunication

Tools & Technologies

PegaAI/ML ToolsLLM-based Inference

Industry Keywords

Healthcare AnalyticsMember EngagementPayer OrganizationsCampaign ManagementRecommendation Systems

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits