Top Data & Analytics Jobs in Seattle, WA
As a Research Analyst for the Reports Team, you will produce insights on digital assets by researching topics, synthesizing findings into reports, and collaborating with team members and clients. The role involves meeting deadlines, interacting with clients, and supporting sales initiatives through marketing materials.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
The Junior Data Analyst will manage, analyze, and ensure the quality of data related to coffee sustainability efforts. Responsibilities include preparing reports, developing data quality tools, and providing training to field staff. The analyst will also collaborate with global team members for data insights and support project analysis.
As a Data Scientist II, you will develop methods to consolidate and analyze large datasets to generate insights for management. You'll design statistical models, advise on emerging trends, and collaborate with teams to implement strategies effectively.
The IT Analyst at Foodsmart is responsible for maintaining IT functions, providing technical support, managing the IT support queue, diagnosing issues, provisioning systems access, and documenting policies for a remote workforce.
As a Data Engineer III at Cars Commerce, you will build scalable data platforms and tools, design and maintain complex data applications, develop and support production data pipelines, and collaborate closely with various engineering and cross-functional teams while mentoring junior team members.
The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.
The Principal Scientist, Biologics manages and leads late-phase biologics process development and manufacturing across multiple technology areas. Responsibilities include project management, compliance, collaboration with external CDMOs, and regulatory documentation. This role ensures the development of safe and compliant processes and products for clinical and commercial use in oncology and rare diseases.
The Sr. Manager, Data Integrity will lead the North America Data Integrity and Transaction Controls team, ensuring accuracy in customer reporting, billing, and data maintenance. This role involves developing a comprehensive data integrity program, optimizing team structure, implementing process changes, overseeing transaction controls, and mentoring staff while supporting global data integrity efforts.
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