Top Data Science Jobs in Seattle, WA

Principal Data Scientist role focuses on developing predictive models for underwriting in healthcare using advanced machine learning techniques and large datasets. Collaborate across teams to drive data-driven solutions and stay updated on industry trends.

Design and build recommendation and personalization systems, conduct A/B testing and causal inference, and mentor the data team in best practices.

The Senior AI Data Scientist will design and develop AI agents for marketing analytics in consumer lending, leveraging advanced Python and big data platforms.

The Data Scientist will analyze raw data, build models, visualize information, and provide solutions to enhance business performance.

The Senior Data Scientist will optimize product performance through data analysis, collaborate with teams to provide insights, and support product initiatives.

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

Develop AI tools using statistical modeling and establish pipelines for causal inference and predictive analytics to assist political campaigns.

As a Staff Data Scientist in Performance Marketing, you will optimize marketing decisions using predictive modeling, budget allocation, and audience targeting strategies, contributing to growth and retention for Quince.

As an AI-First Data Scientist, you will design and deploy ML solutions, conduct causal analysis, and automate intelligence in decision-making processes. You will work closely with senior operators and business leaders, translating complex problems into data-driven solutions while ensuring model performance and scalability.

The Product Data Scientist will develop data-driven solutions for enhancing player experience, analyze game telemetry, and innovate game analytics tooling.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

Lead and mentor data science teams to develop experimentation techniques for the ads business and drive data-driven decision making at Netflix.

The Data Scientist will enhance Smart Signals accuracy using data science and ML techniques, collaborating with engineers and data scientists.

Lead data science initiatives, build and improve machine learning models, communicate insights to influence decisions, and foster analytical rigor in a collaborative environment.

As a Data Scientist Intern at JLG, you will support the Digital Technology department, participating in various IT projects and learning business practices.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

Analyze complex data sets, develop predictive models, collaborate with stakeholders for data-driven decisions, and ensure data quality.

The Data Scientist 2 will develop fraud detection models and advance products focusing on identity verification, requiring strong technical skills and research capabilities.

Lead the data science team in developing analytical frameworks, mentoring members, and collaborating with engineering and research to deliver insights for investment management.

The Staff Data Scientist will enhance Pinterest's Shopping experience through machine learning, causal inference, and robust methodologies, impacting product strategy and mentoring junior data scientists.

The Data Scientist II will develop and implement machine learning models to optimize GoGuardian's platforms, communicate findings, and improve data processing workflows.

The Data Scientist will analyze complex data sets, support product improvements, and collaborate with teams to drive data-informed decision-making.

The Data Scientist II role involves designing and implementing machine learning models for fraud detection, analyzing data patterns, and collaborating with cross-functional teams to enhance identity verification products.

Develop and program methods to consolidate and analyze data sets, generating insights for customer solutions and program enhancement, while collaborating with vendors and technology teams.