Top Senior Level Data Science Jobs in Seattle, WA

As a Distinguished Architect at ServiceNow, lead AI initiatives focusing on cutting-edge technologies such as deep learning and natural language processing. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, influence leadership, perform competitive analysis, and demonstrate thought leadership in AI industry.

The Data Scientist at PwC will collect domain context, define hypothesis and prediction tasks, develop models, validate and test models, produce pipelines for automation, and communicate insights with stakeholders. Additionally, the Senior Manager will work on problem-solving, coaching, stakeholder management, technical advice, and global team engagements.

Seeking a Senior Applied Research Scientist to join the Freight Planning Team with a focus on Ocean Planning. Responsibilities include collaborating with cross-functional teams, leading large-scale planning optimization solutions, conducting research, and delivering data-driven solutions using advanced Operations Research and Machine Learning methods.

The Applied Scientist III will design, develop, and implement machine learning models for various applications, as well as research and implement state-of-the-art algorithms. They will also collaborate with cross-functional teams and provide technical guidance.

Architect and lead development of scalable machine learning systems, collaborate with team members to deploy and maintain models, evaluate new technologies, design software architecture, communicate with peers, value collaboration and innovation.

The Data Science Manager at ZS Discovery will shape and grow AI capabilities in pharmaceutical discovery, work closely with clients, lead a team of data scientists, develop AI offerings, and present results at industry conferences.

As a Principal Scientist/Machine Learning Engineer, you will be driving the future direction of new initiatives and leveraging the latest advancements in ML. You will be responsible for designing, implementing, and scaling innovative machine learning solutions. You will collaborate with product managers, ML engineers, and software engineers to frame ML problems and architect solutions that deliver real-world value.