Top Remote Data & Analytics Jobs in Portland, ME

The Assistant Professor will teach information systems courses, develop curricula, conduct research, and contribute to departmental leadership in online education.

As a Data Engineer, you'll build and maintain data workflows, ensure data quality, and develop models to support analytics and reporting. You will collaborate with teams to implement best practices in data architecture and governance.

The Data Engineer will develop and maintain data pipelines, ensure data quality, and collaborate with teams to optimize data solutions, utilizing core tools and technologies.

The Senior AI Analyst will develop AI-powered tools for sales operations, optimizing performance and extracting insights from complex data using machine learning techniques.

The Senior AI Analyst will design an AI-powered sales operations analysis platform, apply machine learning techniques to analyze complex sales data, and collaborate with senior leadership on data-driven strategies.

Develop an AI-powered sales operations analysis platform, optimize sales operations through analytics, and collaborate with senior executives to align business goals with analytical solutions.

Seeking experienced Freelance Director Level Strategic Consultants to drive strategic initiatives in healthcare and life sciences, closely collaborating with teams.

Lead a data science team to define monetization strategies focused on user privacy, analyze data for impact, and collaborate across teams.

Lead and scale a data science team, driving monetization strategy while ensuring user privacy and delivering insights through data analysis.

The Data & Insights Intern will support the Data and Insights team by developing data tools, analyzing datasets, and creating dashboards.

The Senior Data Scientist collaborates across teams to analyze data, develop algorithms, and improve customer experience through insights, while mentoring other data scientists.

This role involves gathering business requirements, leveraging SAP ERP/S/4HANA for BI reporting, ensuring data accuracy, project planning, and stakeholder communication.

Lead the Data Science and Analytics team to enhance vehicle positioning and demand forecasting through machine learning and optimization. Collaborate cross-functionally and drive data science initiatives to optimize fleet operations.

The role involves pre-sales support, client engagement, solution design, and collaboration with sales teams to deliver data solutions using AWS Cloud.