Top Hybrid Senior Level Data & Analytics Jobs in Seattle, WA
Seeking a highly skilled and experienced Senior Technical Data Analyst to join our growing Data Analytics team. Requires strong background in data analysis, statistics, and data modeling. Must have excellent communication and leadership skills.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework, perform model training optimization, and develop an AutoML platform. Provide technical direction that influences the entire company.
The Staff Risk Analyst, Loss Forecasting role involves building and maintaining risk loss forecast models, analyzing data using Python and machine learning, collaborating with various teams, and providing recommendations for business outcomes in the financial services industry.
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Senior Staff Scientist specializing in quantum characterization and benchmarking at IonQ. Develop benchmarks for quantum processors, collaborate with physicists and software engineers, lead technical projects, and contribute to scientific literature dissemination.
Hiring Senior Machine Learning Engineers to join the ML Platform team at Warner Bros. Discovery. Responsible for building a scalable Machine Learning platform to train, evaluate, deploy, serve, and monitor ML models for global brands.
The Data Science Manager at ZS Discovery will shape and grow AI capabilities in pharmaceutical discovery, work closely with clients, lead a team of data scientists, develop AI offerings, and present results at industry conferences.
Senior Data Engineer role at Disney Entertainment & ESPN Technology's Data Platforms Team. Responsible for designing, building, and maintaining data pipelines in Scala, Python, and Spark. Collaborate with Data Product Managers, Architects, and Engineers to deliver data solutions and ensure operational efficiency. Strong technical background required for working with AWS, Databricks, Snowflake, Airflow, and more.
Develop new product features, explore emerging technologies, build and deploy machine learning models, work with large language models, create APIs and web services, collaborate cross-functionally, write maintainable code.
As a Business Intelligence and Visualization Specialist, you will help clients make sense of complicated data, drive their business forward, and deliver their product lines more efficiently.
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