Top Remote Senior Level Data & Analytics Jobs in Seattle, WA

The role involves managing data center vendor relationships, overseeing deals from planning to execution, and collaborating with various teams to ensure effective sourcing and budget management for Cloudflare's infrastructure growth.

The Senior Staff Scientist will develop hybrid AI applications optimized for quantum computing, lead a team of PhD scientists, collaborate across various technical teams, and engage with clients to identify valuable quantum applications. Responsibilities include developing quantum algorithms, integrating them with AI models, and influencing a multi-year Quantum AI roadmap at IonQ.

The Data Warehouse Analyst will focus on Data Quality, Analytics Governance, and Security. Responsibilities include conducting complex analyses, designing data quality frameworks, driving compliance initiatives, and developing SQL queries to manage enterprise metrics. The role requires collaboration with technology and business partners to implement necessary data controls and best practices.

As a Senior Operations Manager for Predictive Analytics, you will serve as a trusted advisor to leaders, driving staffing decisions that impact operational efficiency and customer satisfaction. You'll engage with cross-functional stakeholders to analyze resource demands, develop capacity plans, and improve hiring strategies based on forecasting methods.

As a Data Engineer, you will build and maintain data infrastructure to enhance revenue growth and seller acquisition at Square. This role involves creating data pipelines, collaborating with engineering teams, analyzing data sources, and supporting business reporting and optimization efforts. You'll also assist in data analysis and serve as a bridge between engineering and marketing teams.

As a Data Engineer on the Marketing Data Engineering team, you will build and maintain essential data infrastructure, develop ETL processes, and collaborate with various teams to ensure accurate data flow and reporting. Your role directly influences revenue growth and stakeholder decision-making through efficient data pipelines and anomaly detection.

The Data Scientist will lead the development of machine learning capabilities, focusing on building production-grade algorithms for anomaly detection and prediction. Responsibilities include managing ML projects from inception to deployment and collaborating with a skilled team to enhance data reliability solutions.