Top Data & Analytics Jobs in Seattle, WA
The Data Manager will engage in developing innovative data-driven solutions for risk management, focusing on data acquisition, pipeline development, API creation, and collaboration with AI/ML teams. Responsibilities include data transformation, governance, and continuous process improvement.
The Senior Data Scientist will drive Growth, Engagement, and Retention strategies by leveraging data analysis, statistical modeling, and machine learning. Responsibilities include designing data pipelines, developing machine learning models, evaluating analysis results, and communicating insights to stakeholders, all while collaborating with various teams to influence product strategy and revenue growth.
As a Staff Data Scientist, you will lead the Member Data Scientist team to analyze data for driving Growth, Engagement, and Retention strategies, mentor team members, develop machine learning models, and communicate insights to stakeholders, while collaborating with various cross-functional teams.
The Principal Engineer, Machine Learning / AI will drive technical capabilities in ML and AI across multiple teams, mentor data scientists, lead technical standards, and advocate for best practices. The role involves hands-on development of ML/AI products and collaboration across various business units to enhance systems and products.
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