Top Data & Analytics Jobs in Seattle, WA
The Intermediate Data Engineer will enhance data warehousing and clean room architecture, collaborate to build data models, and develop features using agile methodologies while working with various teams on requirements.
The Application Support Analyst will resolve customer issues with the SaaS platform, communicate with clients, troubleshoot applications, and collaborate with internal teams to develop solutions. Responsibilities include investigating code, coordinating problem resolution, monitoring systems, writing custom code, and participating in hiring efforts.
The Senior Compensation Analyst will manage and administer compensation programs to ensure competitive pay and internal equity. Responsibilities include conducting compensation benchmarking, driving annual reviews, supporting executive compensation offers, and maintaining compensation systems. The analyst will also provide training and analytical support to the People team and ensure compliance with compensation regulations.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.
As Principal Data Scientist, you will define and execute Trustly's data science and AI strategy, develop machine learning models, drive adoption and implementation of AI technologies, collaborate with stakeholders, and monitor data governance and compliance.
As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.
As a Principal Data Scientist, you will lead the development of machine learning models for hotel demand and pricing predictions, collaborating with engineering and product teams to optimize revenue and present findings to senior management.
The Senior Data Engineer at Bluesight will build and maintain robust data architectures and infrastructure, develop data governance practices, support data products, and collaborate with engineering and external customers to enhance medication workflows. The role involves using various data orchestration tools and programming languages, while ensuring effective communication about data implementations across teams.
As a Database Engineer at Ascend Analytics, you will design and implement scalable production code for OLAP and RDBMS systems, focusing on performance and stability. Collaborating with a team of developers and data scientists, you will support decision analytics for renewable energy providers while contributing to code reviews and sprint planning.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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