Top Remote Senior Level Data Science Jobs in Seattle, WA
Conduct advanced research and modeling to solve strategic HR challenges and improve employee experience. Design and execute research studies, analyze survey data, develop psychometric assessments and tools, and provide data-driven strategies to enhance talent efforts. Present findings to stakeholders and provide actionable research insights to senior leaders.
The Senior Web Data Scientist at Square is responsible for leveraging data science and analytics to optimize growth on the company's web surfaces through experiments, insights, and actionable recommendations. This role involves partnering with marketing and engineering teams to drive web strategy goals and site optimizations, as well as collaborating with technical subject matter experts within the organization.
Contribute to building next generation Large Language Models for Enterprise Language Generation at ServiceNow's Advanced Technology Group. Use AI/ML expertise to solve real-world challenges and collaborate with a team of developers and researchers to produce high-quality software solutions.
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Seeking a Senior Data Scientist to join the Pricing team in the Lending Organization, focusing on Private Student Lending. Responsibilities include developing pricing strategies, running significance tests, leveraging pricing models, building reporting pipelines, and presenting analyses to business leaders.
The OFRO P&T Risk & Quality Data Science Director at PwC is responsible for developing and monitoring risk management policies, compliance, and technology solutions. The role involves leading a team to assess and manage risks effectively to facilitate the delivery of products and services profitably. The Director will need to have strong communication, critical thinking, and leadership skills.
Lead teams of BI analysts and data scientists to enable data-driven discovery, data self-serve and data insights for Product/ Engineering and data science function.
Specialist Solutions Architect role focused on architecting production-grade ML applications on Databricks, optimizing ML workloads, collaborating with product teams, and serving as a technical advisor for GenAI solutions.
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