Top Remote Data & Analytics Jobs in Portland, ME

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

The Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.

As a Senior Business Systems Analyst, you'll manage SaaS portfolios, identify AI automation opportunities, gather requirements for engineering, and provide insights into cross-functional initiatives.

The Capital Analytics Lead will analyze capital, margin, liquidity, and counterparty risk, support regulatory engagement, and produce insights for senior leadership.

As a Senior Yield Manager, you'll optimize digital advertising revenue through effective pricing and inventory strategies, utilizing AI insights for improved forecasting and performance.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

The Data Visualization & Automation Producer oversees data pipeline visual integrity, managing automated workflows, ensuring data accuracy, and training reporters on visualization tools.

As a Databricks Data Engineer, you will design, implement, and optimize Databricks solutions, lead projects, gather requirements, and collaborate closely with clients to ensure successful project delivery.

As a Senior GTM Data Scientist, you will develop predictive models, analyze experiments, and provide actionable insights to GTM teams.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.