Get the job you really want.
Top Data & Analytics Jobs in Seattle, WA
The AI & GenAI Data Scientist-Manager at PwC is responsible for leveraging advanced analytics to aid clients in decision-making. The role involves managing teams, developing AI solutions, documenting processes, and collaborating with clients for tailored AI architectures, with a focus on both structured and unstructured data processing.
As a Cloud Data & Analytics Senior Manager, you will oversee client data strategies, assist in platform selection, and manage the migration to modern cloud data environments using various cloud providers. You will lead teams in solving complex business issues and foster a collaborative and innovative environment.
As a Senior Associate, you'll help solve complex business issues from strategy to execution, supporting business needs by developing technical content, building prototypes of CLM solutions, conducting gap analysis, integrating systems, and leading workshops. You'll also conduct training sessions, manage software development lifecycle activities, and build AI models.
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 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.
Featured Jobs
The Staff Data Scientist will work on developing and deploying machine learning models impacting business decisions. Responsibilities include modeling, experiments, analyzing data, collaborating with teams, and presenting findings to stakeholders. Advanced mathematics and ML methodologies will be applied to optimize marketing solutions.
Manage a team of Data Scientists to develop machine learning models to enhance business growth opportunities. Define data requirements, extract data from warehouses, build robust predictive models, and educate business teams on model implications. Oversee all aspects from problem identification to solution implementation within an enterprise setting.
.png)
The Senior Analytics Engineer will lead the development of data marts and pipelines, collaborate with cross-functional teams, and ensure that data models meet business requirements. They will also mentor junior engineers and set standards for data quality within the organization.
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.
The Manager of People Analytics Tableau Dashboards at Dropbox will lead the development of HR dashboards, translating complex data insights into visual tools for informed decision-making. They will manage a team, ensure data integrity, and collaborate with stakeholders to enhance dashboard capabilities and meet customer needs.
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 at Snap, you'll collaborate with stakeholders to create high-quality datasets, develop scalable ETL pipelines, manage data warehousing solutions, ensure data integrity, and maintain data security practices.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
See All
.png)
.png)
All Filters
No Results
No Results
