Top Data Science Jobs in Seattle, WA

As a Data Scientist, you'll enhance fraud prevention measures, analyze user data, and influence decision-making using data science methods for Whatnot's growth in a safe environment.

As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.

This role involves conducting research in R&D, focusing on chemical and material science to develop new products and processes. It targets PhD students in related fields.

Lead and build an outsourced team to manage enterprise data platforms, improve data pipeline efficiency, and oversee RPA processes for BeOne Medicines.

The Sr. Data Scientist will analyze complex grocery marketplace problems, develop statistical models, and influence product development through data insights.

Lead a team of data scientists to enhance patient digital experience, focusing on analytics, modeling and improving healthcare outcomes.

The Principal ML Engineer at Nordstrom develops machine learning systems, drives architectural decisions, and mentors junior engineers to optimize performance and scalability.

Develop methodologies for synthetic and hybrid data generation while collaborating with partners to ensure high-quality datasets for AI models.

The Staff Data Scientist in Marketing Science will analyze ad performance, provide data-driven recommendations, track metrics, and mentor junior data scientists.

The Senior Data Scientist leads audience activation modeling efforts, translating customer data into marketing strategies, optimizing audience engagement, and collaborating across teams to drive sales through advanced analytics.

Lead AI innovation strategies, develop advanced AI/ML models, and guide cross-functional teams to enhance productivity and decision-making at The Hartford.

The SVP, Insights leads data analytics strategy, overseeing measurement and insights teams, improving products through data insights, and collaborating across departments.

The Staff Data Scientist leads audience activation modeling, develops marketing models, collaborates with stakeholders, and mentors junior data scientists focusing on data-driven solutions for business challenges.

The VP of Data Engineering at Axios will manage data engineering teams, oversee the data platform architecture, and collaborate with executives to set the vision and strategy for data initiatives.

Lead a team to develop and optimize styling algorithms that enhance client experience, using data-driven insights and collaboration within a cross-functional team.

Lead AI-driven insights and predictive analytics for business applications, optimizing processes like Quote-to-Cash and enhancing revenue forecasting.

As a Data Scientist specializing in healthcare AI/ML, you will develop and deploy AI/ML solutions, collaborating with business partners and engaging in continuous professional development.