Top Remote Senior Level Data & Analytics Jobs in Portland, OR

As a Senior Researcher at Monad Labs, you will design efficient algorithms and architectures for storage and recovery in distributed systems, conduct research on new architectures, and collaborate with a skilled team to tackle challenging problems in a fast-paced blockchain environment.

The Enablement and Analytics Manager will lead a team of product analysts, oversee capacity planning, and drive efficiencies across personal lines offerings. Responsibilities also include mentoring analysts, collaborating with P&L leaders, and championing operational initiatives to streamline processes and enhance productivity.

As a Senior Game Data Analyst, you will collaborate with stakeholders to translate business goals into actionable analytics tasks, optimize data pipelines, engage in quality assurance, and implement innovative solutions to enhance player experiences.

The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.

This role involves managing the data and analytics program for Revenue Cycle Optimization, leading strategic initiatives, performing financial performance analysis, ensuring accountability for ROI outcomes, preparing performance reports, and training team members on analytics tools and methodologies.

The Senior Data Scientist at OneDigital is responsible for developing new models and tools for client projects related to health benefits strategies. They will work on data visualization, web application development, and providing R&D support for model enhancements. The role requires a Bachelor's/Master's degree in a relevant quantitative discipline and 4+ years of experience in data science or related fields.

The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.