Top Remote Data & Analytics Jobs in Portland, ME

The Senior Provisioner manages the service delivery lifecycle for Telecom Voice and Data services. Responsibilities include responding to service requests, initiating and managing telecom orders, coordinating with various stakeholders, participating in status calls, and ensuring accurate system updates. The role requires strong organizational and communication skills for effective interaction with clients and telecom carriers.

As the Director of Data Engineering and Analytics, you will lead the data team, improve data infrastructure, ensure data quality, optimize performance, and support organizational decision-making. You will also oversee the design and implementation of data pipelines and collaborate with cross-functional groups, ensuring timely data availability for product features and analytics.

The Data Science Engineer will work with cross-functional teams to build data solutions, connect datasets, develop data models and pipelines, and communicate findings through reports and visualizations, all while operating in a fully remote environment.

As an Associate Data Scientist, you will develop production AI systems, working with LLMs and prompt engineering for chatbots. You will evaluate AI model efficacy, collaborate with security on AI safety, and code in Python using machine learning technologies. This role involves working with various teams to enhance business functions through AI-driven solutions.

The Senior Catastrophe Modeler will manage a portfolio for Farm Bureau® clients, leading catastrophe modeling projects and supporting reinsurance needs. Responsibilities include data scrubbing, running catastrophe models, communicating with clients, and presenting findings. The role involves collaboration with teams to guide stakeholders through model changes and enhance catastrophe risk insights.

As an Analytics Lead, you'll mentor a high-performing data team, drive insights, and influence business outcomes. You'll contribute to analytical projects, develop key business metrics, and create dashboards, while collaborating with cross-functional teams to translate data insights into recommendations.

The Splunk/Cribl Architect will lead the design and implementation of an enterprise data analytics suite for federal customers, focusing on Splunk and Cribl technologies. Responsibilities include architecting hybrid cloud/on-prem solutions, maintaining and administering systems, and collaborating with SOC teams to drive security content requirements.