Top Remote Senior Level Data & Analytics Jobs in Boston, MA

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

The Senior Data & Analytics Consultant will lead data structuring, reporting, and analysis for the pet business, ensuring accurate reporting to meet business objectives.

As the Capital Markets Manager, you will secure funding through securitization programs, manage partnerships, and lead structured finance negotiations while mentoring your team.

The Cloud Data Architect will design and implement data architecture solutions within a SaaS environment, ensuring data security and efficiency while leading technical standards and collaborative teams.

The Senior Performance Strategist manages key client relationships, optimizes performance, drives projects, supports troubleshooting, and mentors junior members to enhance campaign strategies and processes.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.