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Top Hybrid Data & Analytics Jobs in Seattle, WA
Manage a team of Data Scientists to create and implement Machine Learning models that enhance business operations. Engage with stakeholders, define variables, and extract data for modeling. Lead projects from conception to execution while ensuring models are informative and improve decision-making processes.
The Sr Machine Learning Engineer will be responsible for developing and maintaining machine learning algorithms for Hulu's recommendation system. This includes feature engineering, optimizing algorithms, collaborating with product teams, and maintaining real-time data pipelines.
As an Applied AI Scientist, you will develop advanced algorithms for large data sets, apply statistical and data mining techniques, evaluate emerging datasets for analytical platforms, and contribute to thought leadership by researching and publishing evolving topics.
As a Senior Data Engineer at Trupanion, you will design and build scalable data systems, optimize ETL pipelines, ensure data integrity, and provide technical leadership. Collaborating across teams, you will address performance issues and establish data governance in a pet-friendly hybrid work environment.
The Principal Data Scientist at Magnify will leverage various data sources to create predictive models for revenue expansion and churn, improve model accuracy based on stakeholder input, and collaborate with engineering to enhance data science pipeline infrastructure.
Top hybrid Companies in Seattle, WA Hiring Data + Analytics Roles
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