Top Hybrid Data & Analytics Jobs in Boston, MA

The actuary will conduct complex analyses, recommend actuarial assumptions, support governance committees, communicate findings, and enhance analytics processes.

Develop and apply advanced statistical models, design custom analyses (Python/R/Tableau/SAS/Excel), synthesize and present results to clients, manage client relationships, create deliverables, and mentor junior team members.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

Design, prototype, and deploy statistical and ML models for lifecycle marketing to drive acquisition, engagement, retention, and upsell. Run and evaluate experiments (A/B tests, bandits), collaborate with engineers/ML Ops to productionize models, and communicate insights to stakeholders.

The Underwriter will review and underwrite loans, ensuring compliance with standards, and assist in loan structuring and evaluation.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

Lead and develop an analytics team supporting Casino Revenue Operations. Drive measurement, monitoring, and optimization of casino performance through deep-dive analyses, scalable alerting frameworks, stakeholder recommendations, and an analytics roadmap aligned to business impact.

Lead end-to-end analytics for Veterinary Diet, Science Diet, and Health & Wellness businesses. Build self-service dashboards, define KPIs, run deep-dive analyses, partner with technical and category teams, and deliver insights that improve customer experience and financial P&L.

The Manager of Ontology and Data Modeling develops and maintains enterprise ontologies, collaborates with teams across Capital One, and advocates for semantic technology integration in products and services.

The Manager of Advanced Analytics & Automation leads the strategic analytics and AI automation initiatives for customer intelligence, building data models, insights, and automation workflows to enhance customer success and retention.