Top Hybrid Senior Level Data & Analytics Jobs in Seattle, WA
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.
The Director of Data Science at Snap Inc will lead a team focused on improving customer engagement and ad performance through advanced data analysis, machine learning, and strategic insights. The role involves partnering with senior executives to solve complex business questions, manage projects, and deliver actionable recommendations.
The Lead Machine Learning Engineer will develop, implement, and optimize recommendation algorithms for Disney's media platforms. This role involves collaborating with engineering and product teams to achieve personalization goals, maintain ETL pipelines, and ensure best practices in algorithm development. The engineer will also drive the roadmap for algorithmic projects to enhance content recommendations.
As a Senior Staff Scientist in AMO Theory at IonQ, you will develop and analyze numerical models of ion transport in quantum processing units, determine engineering requirements, report findings, and contribute to knowledge in AMO physics. Your expertise in quantum systems and programming will guide technology choices for advanced quantum computers.
As the Senior Director of Analyst Relations, you will lead the Analyst Relations program, develop strategic plans, build relationships with top industry analysts, manage effective communication, influence product strategies based on feedback, and participate in key industry evaluations.
The Senior Data Analyst is responsible for collecting, analyzing, and interpreting data to enhance the performance of Hiya’s security products. Responsibilities include managing data pipelines, collaborating with teams to identify insights, developing production-quality dashboards, and documenting service performance tests.
The Principal Data Scientist role focuses on leveraging data from Magnify's customers to build predictive models for revenue expansion and churn. Responsibilities include improving model accuracy based on stakeholder input, providing thought leadership on data science and machine learning innovations, and collaborating with engineering to develop reliable data science infrastructure.
Top hybrid Companies in Seattle, WA Hiring Data + Analytics Roles
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