Top Data & Analytics Jobs in Seattle, WA
As a Data Scientist II, you will analyze large healthcare datasets, build and optimize machine learning models, and develop algorithms for workflow optimization. You'll collaborate with engineers and product managers, communicate insights through visualizations, and contribute to innovative solutions that enhance operational intelligence in healthcare revenue cycle management.
The Director of Business Development at WillowTree is responsible for leading relationships with key strategic accounts in the Data and AI vertical. They collaborate with VPs of Business Development, identify target accounts, articulate product features, craft executive-level proposals, and nurture C-level relationships with clients.
The Treasury Operations Analyst at Backflip will manage daily cash flows, conduct cash reconciliations, ensure compliance with internal policies for wire transfers, support the accounting team with payments, and implement process improvements. This role requires attention to detail, strong organizational skills, and the ability to thrive in a fast-paced environment.
The Senior Data Engineer will design and build a scalable big data analytics platform, optimize search solutions with Elasticsearch and OpenSearch, collaborate with teams to implement technical specifications, improve search performance, and mentor junior engineers.
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The Senior Data Scientist will lead data analysis and machine learning efforts to extract insights from complex datasets, drive product enhancements, and influence strategic decision-making. Responsibilities include statistical modeling, data mastery, and mentorship within a cross-functional team to deliver machine learning solutions.
The Senior Manager will lead eDiscovery system implementations and manage client projects, ensuring deliverables are met. Responsibilities include overseeing teams, facilitating workshops, developing client relationships, and managing project documentation and budgets. The role requires collaboration with legal and IT stakeholders to create effective solutions, mitigate risks, and enhance methodologies.
The Senior Data Engineer will develop a cloud-based data transformation and workflow solution for the U.S. Army. Responsibilities include managing data pipelines, data security governance, and delivering high-quality software. The role entails communicating design decisions to different audiences and requires extensive collaboration across teams to solve complex problems.
The Microsoft Power Platform Business Analyst/Tester role focuses on improving business processes and efficiency for federal clients using Microsoft Power Platform tools. Responsibilities include documenting and analyzing requirements, producing data-driven solutions, and facilitating communication between IT and business stakeholders.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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