Top Hybrid Senior Level Data & Analytics Jobs in Seattle, WA
Senior Data Scientist role at Snap Inc, focusing on quantitative analysis, data modeling, and statistical modeling to deliver impactful insights for informed business decisions. Collaborate with cross-functional teams to drive projects and optimize product performance. Must have 5+ years of experience in data science, SQL, Python, and statistical techniques.
Join IonQ as a Staff Scientist - AMO Theory to develop and analyze models of ion-light interactions in their quantum computing system. Contribute to advancing quantum computing platforms and stay current with research in quantum control techniques.
The BCT IT Sr. Analyst is responsible for executing control testing activities to evaluate effectiveness of SoFi's Internal Controls, working with various business partners, and collaborating with stakeholders to identify and implement IT controls. This role ensures the business units have a sustainable end-to-end control environment. Responsibilities include executing design and operating effectiveness testing, assessing IT controls, maintaining documentation, presenting testing results, and implementing new controls.
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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.
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.
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.
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.
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.
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