Top Data & Analytics Jobs in Seattle, WA
Join IonQ as a Staff Scientist - AMO Theory to develop and analyze models of ion-light interactions in their quantum computing system. Contribute to advancing quantum computing platforms and stay current with research in quantum control techniques.
As a Senior Data Engineer, you will design and develop scalable data architectures and pipelines to support data ingestion and processing. Your role includes optimizing data systems for large datasets, collaborating with teams to deliver data solutions, and enforcing data governance to ensure integrity and compliance.
The Machine Learning Engineer will design, build, and deploy large-scale machine learning systems, collaborating with cross-functional teams to personalize user experiences at Dropbox. Responsibilities include evaluating ML system performance, working with large-scale data systems, and participating in on-call rotations as needed.
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The Healthcare Operations Analyst will manage customer issues, identify process inefficiencies, document business requirements, and handle system implementation projects. This role requires collaboration with various teams to improve operational efficiency and monitor key performance indicators through dashboards.
The Senior Workday Configuration Analyst will configure and maintain Workday modules, provide recommendations for process improvements, conduct testing, lead implementation projects, document processes, troubleshoot issues, and create reports. The role requires strong communication and organizational skills while working independently on cross-functional projects.
The Sr. Business Systems Analyst will work closely with business partners to design and manage technology solutions on the Salesforce platform, ensuring optimal performance of custom commerce back-end systems. The role involves requirements gathering, project management, and collaboration with multiple teams to enhance and improve business applications.
The Staff Security Incident Remediation Analyst will improve the Recovery lifecycle of Major Security Incidents (MSIs) at ServiceNow. Responsibilities include documenting Recovery findings, employing data analysis to generate insights, collaborating with stakeholders, tracking Recovery item statuses, and communicating with senior management to improve security measures.
As a Machine Learning Engineer, you will build and scale ML model pipelines, implement MLOps, write production-ready code, and collaborate with clients and global teams to deliver AI solutions. You will also engage in research to evaluate new architecture patterns and technologies.
As a Cloud Data & Analytics Implementation Senior Associate, you will assist clients in aligning their data strategies with business objectives, selecting cloud platforms, defining data needs, and migrating to modern cloud environments. This involves leveraging various data management and business intelligence tools to drive insights and innovation within financial services and insurance sectors.
The Computer Vision and Machine Learning Engineer will develop innovative solutions using state-of-the-art techniques, maintaining core libraries, integrating computer vision methods with ML, and collaborating with teams to benchmark system performance.
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