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 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.
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As an Associate Director of Data Science, you will develop and implement algorithms to solve complex supply chain issues, use machine learning and operations research, and collaborate with various supply chain functions to optimize operations. You will drive strategic planning initiatives and lead analytics teams for continual improvement in processes and metrics.
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.
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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.
Senior Staff Scientist specializing in quantum characterization and benchmarking at IonQ. Responsible for developing benchmarks to measure the performance of trapped-ion quantum processors and leading technical projects within the organization.
As a Data Engineer at Snap Inc, you will develop data pipelines, ensure high data quality, support data consumption portals, and communicate with stakeholders across various domains to facilitate reporting needs. You'll be responsible for building tooling and managing data pipeline maintenance with on-call responsibilities.
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.
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