Top Hybrid Data & Analytics Jobs in Seattle, WA

In this role, you will develop and maintain machine learning algorithms for personalization on Hulu's platforms. You'll work with engineering and product teams to optimize processes and explore innovative methods for recommendations. Your responsibilities include algorithm development, feature engineering, maintaining deployment standards, and collaborating on new personalization opportunities.

As an AI & GenAI Data Scientist at PwC, you will develop predictive models, conduct statistical analyses, and create data visualisations. You'll manage AI solutions, process data, collaborate with client teams, and lead development of AI architectures while adapting to diverse environments and client needs.

The Responsible Sourcing Analyst at Brooks supports the company's Responsible Sourcing strategy. Responsibilities include leading compliance programs, tracking metrics, analyzing data for insights, and contributing to corporate responsibility initiatives.

The Conversational Intelligence Team is hiring applied scientists to enhance Outreach Kaia (Knowledge AI Assistant) and deliver high-quality products to customers.

As a Senior Big Data Engineer, you will implement and maintain scalable Big Data solutions, develop features from design to production, and collaborate with various stakeholders to improve the data infrastructure. Your role will involve researching innovative technologies and optimizing data applications.

The Analytics Engineering Manager at Carta will lead a team of technical Analytics Engineers, developing scalable data models, collaborating with Data Science and Data Engineering teams, and enhancing internal reporting. They will ensure data quality and self-service capabilities while identifying opportunities for operational simplification.

The role involves implementing and maintaining Google Tag Manager setups, ensuring accurate tracking of marketing data, and managing cookie compliance. Responsibilities include collaborating with marketing teams, optimizing analytics infrastructure, and providing insights to drive growth initiatives.