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Top Hybrid Data Science Jobs in Seattle, WA
As an Applied AI Scientist, you will develop advanced algorithms for data analysis, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm’s thought leadership through research and publishing.
The role involves developing AI and GenAI data solutions for clients, utilizing machine learning and statistical methods to analyze datasets, and creating visualizations. Responsibilities also include collaborating with clients to identify business problems, designing AI architectures, and applying advanced analytics for informed decision-making.
The Senior Manager of Data Science will lead a team of Data Scientists in creating machine learning models to enhance company growth, manage projects across departments, and teach business teams the implications of model results.
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The Principal Data Scientist will lead the development of predictive models to enhance revenue expansion and reduce churn for Magnify's customers. This involves leveraging various datasets, innovating around data science methodologies, and collaborating with engineering to build reliable data science pipelines.
The Principal Data Scientist will work with various data sources to build predictive models that enhance revenue expansion and reduce churn for enterprise software companies. They will collaborate with stakeholders to improve model accuracy, innovate on data science opportunities, and partner with engineering to ensure scalable data science infrastructures.
Top hybrid Companies in Seattle, WA Hiring Data + Analytics Roles
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