Top Hybrid 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 role involves leveraging advanced analytics and AI techniques to extract insights from large datasets. Responsibilities include developing AI solutions, documenting business processes, collaborating with clients to solve problems, and managing a global data analytics team. Strong emphasis on client relationships and technical expertise is required.

As a Senior Manager in PwC Intelligence, you will lead a team to address complex business issues, innovate firm operations, and develop service offerings by leveraging statistical knowledge, machine learning, and advanced data analysis techniques.

As a Cloud Data & Analytics Manager, you will work on aligning client data strategies with their business strategy and assisting in the migration to modern cloud data environments. You will utilize various cloud providers and develop recommendations to solve complex business issues, as well as coach team members and drive impactful data-driven decisions.

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.