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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.
In this role, you will lead the development and deployment of machine learning algorithms, train complex models, and collaborate with various engineering teams to integrate AI functionalities into Atlassian products. You'll also be involved in designing system architectures and mentoring other ML engineers while ensuring efficient AI innovation across the company's platforms.
As a Threat Analyst, you will analyze malware and customer detection tickets, improve detection capability, and support internal teams with questions on threat detections. You will work with various internal teams to enhance product performance and manage false positives.
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As a Senior Manager in Data & Analytics at PwC, you will lead the design and development of robust data solutions, manage data infrastructure, and implement data pipelines while supporting team optimization and driving client engagement.
As an AI & GenAI Data Scientist at PwC, you will develop predictive models, conduct statistical analyses, and create data visualizations. Your role involves transforming raw data into actionable insights and collaborating with clients to solve complex business problems using advanced analytics and machine learning techniques.
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.
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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.
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