Top Data Science Jobs in Seattle, WA

Interns will develop advanced algorithms, execute statistical techniques on data sets, and collaborate with clients to communicate analysis findings.

Lead a data science team to optimize ad ranking and marketplace efficiency, develop data-driven strategies, and deliver actionable insights.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Lead a data science team to enhance patient acquisition and retention through data-driven insights and experimentation, while collaborating with various departments.

The Sr. Manager of Data Science and Analytics will oversee a team, guiding efforts in data analysis for payments and compliance, ensuring impactful outputs, and fostering team growth.

Manage a team of data analysts and scientists, focusing on analytics for payments and compliance. Ensure impactful data work and drive business decisions.

Manage a team of data analysts and scientists focused on Circle's payments products and compliance efforts, ensuring data quality, impactful reporting, and cross-functional collaboration.

Manage data analysts and data scientists for payments and compliance. Guide, improve team work, and collaborate with cross-functional partners.

The Senior Actuarial Assistant will lead moderate to complex analysis in risk insights, collaborate with product teams, and communicate results while managing projects in a fast-paced environment.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

Interns will engage in flexible paid projects across various disciplines including software engineering, AI/ML, UX/UI, and more, tailored to skills.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

As a Data Science Engineer, you'll develop revenue-generating models, analyze business performance, and enhance sales strategies through advanced data-driven insights.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

As a Data Science Intern, support data-driven decisions by analyzing large datasets and applying statistical and machine learning techniques to enhance sales strategies.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

Manage a team of data scientists to develop fraud detection models, mentor staff, and collaborate with leadership on solutions and product development.