Top Data Science Jobs in Seattle, WA
Seeking a Principal Data Scientist to focus on strategic priorities within Data Science, provide mentorship, and collaborate with teams across the organization. Must have expertise in machine learning, data products, and infrastructure.
The Staff Data Scientist at Dropbox is responsible for designing and building solutions to collect high quality data, transforming it into insights, and collaborating with various teams to ensure data quality and integrity. They will develop best practices for data tagging, validation, and lifecycle management, and guide product teams through the product instrumentation process.
As a Marketing Data Scientist at Cash App, you will optimize marketing efforts, analyze data using SQL and scripting languages, leverage statistical modeling techniques, and collaborate with cross-functional teams to drive business success.
As a Senior Data Scientist at Cash App Health, you will partner with various teams to analyze large datasets, derive insights, conduct statistical modeling, design experiments, and drive data-driven decisions that enhance the customer experience. You will also be responsible for building and sharing data visualizations and communicating findings with stakeholders.
Seeking a Deep Learning Research Scientist passionate about expanding the limits of deep learning capabilities. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, advancing research agenda, and sharing work through open source.
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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.
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.
This position is responsible for using large data sets to find opportunities for optimization, creating and implementing models, and analyzing data for business insights. The ideal candidate should have proficiency in Python or R, expertise in SQL, experience with cloud-based computing platforms like AWS, and working knowledge of data infrastructure and manipulation. Strong communication skills and business acumen are essential.
As a Principal Scientist/Machine Learning Engineer, you will be driving the future direction of new initiatives and leveraging the latest advancements in ML. You will be responsible for designing, implementing, and scaling innovative machine learning solutions. You will collaborate with product managers, ML engineers, and software engineers to frame ML problems and architect solutions that deliver real-world value.
Contribute to building Large Language Models (LLM's) for Enterprise Language Generation at ServiceNow.
Join the HR Data and Analytics team at CrowdStrike as a Data Scientist focusing on gathering, analyzing, and visualizing HR data to provide insights for stakeholders. Work on forecasting business outcomes, building data pipelines, creating Tableau visualizations, and offering consultation to HR partners.
Use data engineering, analytics, statistics, and machine learning to empower data-driven decision-making in product development and customer experience for Square's Restaurants team. Define metrics, personalize product experiences, provide insights to sellers, and drive strategic decisions with data.
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