Top Data & Analytics Jobs in Seattle, WA

The Director, Analytics and Data Platform Delivery leads teams in managing and delivering analytic/data platforms, ensuring alignment with Pfizer's strategic vision. Responsibilities include overseeing design, security, compliance, and financial management of data technologies while fostering innovation and collaboration with senior leadership and external partners.

As a Senior Manager, you will oversee multiple projects, ensure the accuracy of clinical data, and manage operational activities within your division. You will guide your team in developing data management plans, implementing quality data capture solutions, and anticipating talent development needs. Your role is critical in achieving project objectives and promoting knowledge sharing across teams.

The Decision Analytics Associate Consultant will develop and apply advanced statistical models for healthcare clients, leverage analytic techniques for decision-making, design analyses in various technologies, and communicate results to stakeholders. They will also build client relationships and guide project deliverables.

As an Applied AI Scientist at ZS, you'll develop algorithms for large dimensional problems, apply statistical and data mining techniques on large datasets, evaluate new data technologies, and contribute to thought leadership through research. You'll work in a collaborative environment focused on transforming global healthcare.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for massive data sets, and enhance ML platforms. Your responsibilities include implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.

As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.

As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.

As a Machine Learning Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, tune and evaluate models, and develop evaluation frameworks and metrics. Your role includes building and evaluating deep learning models and transformer-based models, working collaboratively within an AI engineering team.

As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.

As a Senior Machine Learning Engineering Manager, you will lead the end-to-end machine learning lifecycle, from data collection to deployment. You'll implement novel techniques, mentor team members, and collaborate with cross-functional teams to ensure effective communication and innovation.

The Data Analyst 3 role involves collecting, analyzing, and presenting data to improve decision making in Supply Chain Operations. Responsibilities include partnering with stakeholders, applying statistical methods, delivering insights via BI reporting, and managing ETL processes while maintaining effective communication across teams.