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Top Data Science Jobs in Seattle, WA

24 Days Ago
United States
Remote
61 Employees
165K-185K Annually
Junior
61 Employees
165K-185K Annually
Junior
Financial Services
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
24 Days Ago
USA
Remote
137 Employees
Expert/Leader
137 Employees
Expert/Leader
Artificial Intelligence • Healthtech • Biotech
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
24 Days Ago
USA
Remote
300 Employees
Senior level
300 Employees
Senior level
Consumer Web • Digital Media • eCommerce • Fintech • Financial Services
As a Senior Data Scientist, you will lead the development and deployment of machine learning models, mentor junior data scientists, and collaborate with various business teams. You will design data products, ensure model quality, and promote good practices within the data team.
25 Days Ago
United States
Remote
150 Employees
Senior level
150 Employees
Senior level
Fintech
As a Senior Data Scientist at Mercury, you will derive insights from data, collaborate with Revenue, Marketing, and Growth teams, and develop data-driven experiments to improve user experience. You will build data pipelines, conduct analyses, and leverage advanced analytics techniques to inform decision-making and support the sales process through data-driven recommendations.
Top Benefits:
401-K
Commuter Benefits
Company Outings
+15 More
25 Days Ago
USA
Remote
18 Employees
Senior level
18 Employees
Senior level
Software
As a Senior Data Scientist/DBA at SELF ID, you will manage data infrastructure, ensure data integrity and security, and analyze complex datasets to derive insights. You'll collaborate with various teams to drive data-driven decisions and develop innovative solutions, working remotely on cutting-edge technologies.
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