Top Data & Analytics Jobs in Boston, MA

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.

Manage the development, implementation, governance, and adoption of enterprise ontologies and optimized data models. Partner with Finance, Technology, Product, Machine Learning, and enterprise teams to support ERP replacement, semantic technology integration, data standardization, and data harmonization. Own the ontology roadmap, establish standards using W3C technologies, communicate strategic vision, manage and mentor teams, and advocate for semantic technologies across the organization.

Designs conceptual, logical, and physical data models for R&D research and clinical domains. Translates scientific and business requirements into reusable, scalable, AI-ready data structures that support analytics, machine learning, data integration, and standardized workflows. Partners with domain experts, data engineers, architects, data scientists, and governance teams to apply enterprise standards, schemas, ontologies, metadata, quality rules, and lineage. Promotes shared data assets and ensures models are implementable, interoperable, and aligned with evolving R&D needs.

Own commercial analytics for direct-to-consumer and marketplace channels, analyzing pricing, promotions, conversion funnels, merchandising, product mix, customer behavior, and channel economics. Build scalable reporting tools, support forecasting and planning, and translate transactional and behavioral data into recommendations for digital commerce leadership. Partner with Marketing Analytics and Analytics Engineering to connect acquisition trends with commercial outcomes and ensure trusted data.

Leads Liberty Mutual's Global Legal & Compliance Data Office, owning data and AI strategy, governance, quality, enablement, infrastructure, and investment prioritization. Builds enterprise data capabilities across legal, compliance, litigation, and advisory teams; oversees product management, data science, and knowledge management functions; ensures regulatory compliance, data readiness, and effective AI adoption. The role also drives organizational change, stakeholder alignment, talent development, and integration of disparate legal systems.

Conducts market, customer, competitor, and sales research for Comcast Advertising. Gathers and analyzes measurement and attribution data, prepares statistical reports and presentations, develops recommendations for stakeholders, monitors industry developments, and supports cross-functional teams and representatives in applying research insights.

Leads quantitative and qualitative consumer research projects, brand-health tracking, audience measurement, and recurring insights programs. Analyzes surveys, behavioral metrics, syndicated data, and competitive intelligence to identify trends and business implications. Creates reports and presentations that translate findings into recommendations for marketing, brand, product, and customer experience teams. Manages survey platforms, research quality, vendors, timelines, and cross-functional stakeholder communication.

Leads reporting, analytics, and optimization across Pfizer’s promotional content delivery ecosystem. Builds and maintains dashboards and report catalogs using Power BI and Adobe platforms, monitors adoption and usage trends, interprets metrics, and delivers actionable recommendations. Manages complex cross-functional projects involving Biopharma Operations, marketing, agencies, and stakeholders. Supports improved content effectiveness, speed to market, service efficiency, and cost optimization while leveraging AI-enabled insights and operating independently in a matrixed environment.

Build and operate reliable data systems and products supporting clinical operations, drug evaluation, business development, analytics, machine learning, and AI agents. Responsibilities include designing pipelines, canonical data models, data contracts, warehouse transformations, quality and observability practices, governance for regulated data, and incident response. The role partners closely with Product Engineering and Data Science, uses AI-assisted development, contributes to architecture, and mentors other engineers.