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Top Data & Analytics Jobs in Seattle, WA
As an AI Engineer, you will be responsible for training and tuning AI/ML models, performing model evaluations, building large-scale AI/ML pipelines, and developing evaluation frameworks. This involves significant work with deep learning, transformer models, and data engineering.
The Staff Data Scientist will lead projects from idea conception through to deployment and improvement, working on generative AI solutions for marketing applications. The role demands collaboration with various teams to understand data-driven needs, analytics, and machine learning model performance communication to non-technical stakeholders, while developing optimization and modeling techniques.
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.
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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.
The Staff Machine Learning Engineer will develop and productionize machine learning models, collaborate with product teams, ensure code quality, research emerging technologies, and share knowledge through presentations. They will focus on solving business challenges with AI-driven solutions and implementing machine learning systems.
As a Data Engineer on the Core Growth Team, you will collaborate with various stakeholders to develop scalable ETL pipelines, manage data warehousing solutions, ensure data quality and security, and communicate complex projects to non-technical team members.
As a Senior Machine Learning Engineering Manager, you will oversee the end-to-end machine learning lifecycle, mentor the team, research and implement advanced machine learning techniques, and collaborate with various stakeholders to enhance machine learning models and drive business impact.
As an AI & GenAI Data Scientist at PwC, you'll analyze large datasets to develop predictive models, conduct statistical analysis, and create data visualizations. You'll collaborate with clients to solve complex business problems, document AI solutions, and lead data teams to deliver effective data strategies.
The Machine Learning Engineer II will develop and optimize scalable machine learning models and data pipelines to enhance the Qualtrics platform. Responsibilities include collaborating with cross-functional teams, implementing new features, and conducting complex statistical analyses while ensuring the quality of end-to-end solutions.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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