Top Remote Data Science Jobs in Seattle, WA

The Data Scientist will develop predictive models, analyze data, collaborate with teams for data solutions, and drive innovation in insurance and home services.

As a Senior Data Science Engineer, you will develop machine learning algorithms and statistical models, perform data analysis, and build data-driven products to enhance real estate solutions.

The Data Scientist will develop and maintain models for ratemaking and underwriting, educate stakeholders, and contribute to decision-making processes in the insurance sector.

The Research & Analytics Manager will analyze data to support decision-making, conduct R&D, improve alert systems, and collaborate with teams to drive strategic insights.

As a Sr. BI Analyst, you'll analyze data for business solutions, develop BI reports and dashboards, and collaborate with teams to ensure data accuracy and effectiveness in delivering insights.

The role involves designing and analyzing experiments for Open Connect, building experimental tooling, delivering insights, and collaborating with cross-functional teams.

The Lead BSA Data Scientist develops advanced models to enhance Bank Secrecy Act compliance and Anti-Money Laundering efforts, leveraging data analytics to detect fraud and improve risk assessment methodologies.

As a Data Science Intern, you will assist in developing AI products, handle data exploration and cleaning, and support machine learning model development alongside cross-functional teams.

The Senior Data Scientist will lead analyses and projects to drive strategic insights, mentor junior staff, and utilize AI tools for data-driven decisions.

As a Principal Data Scientist, you will analyze complex data, create measurement techniques, collaborate with teams, and develop models to enhance Zillow Rentals' marketplace performance.

The Principal Data Scientist will analyze complex datasets, collaborate with stakeholders, mentor junior team members, and communicate insights effectively.

The role involves leading process improvements using AI and data science, driving continuous enhancements, and mentoring team members while communicating complex concepts to stakeholders.