Top Data Science Jobs in Seattle, WA

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 Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The Senior Data Scientist will drive product innovation through experimentation and robust measurement strategies in Netflix Games, collaborating with Product and Engineering teams to enhance user experience.

The Associate Data Scientist will build and evaluate machine learning models, derive insights from data, and collaborate on data science solutions to solve complex problems.

As a Staff Data Scientist, you'll develop and fine-tune machine learning models, collaborate with teams to implement AI solutions, and mentor peers.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

The Data Scientist will ensure statistical validity of products, develop techniques to enhance user value, collaborate cross-functionally, and drive data accessibility through optimizing queries and processes.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

As a Data Scientist, you will analyze large datasets, translate client goals into analytical solutions, and communicate findings effectively. You'll collaborate with teams to improve analytics processes and ensure data quality.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

The Data Scientist will analyze complex data sets, develop predictive models, collaborate with stakeholders, and create data visualizations to inform business decisions.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

As a Staff Data Scientist, you will enhance Mozilla's operational efficiency by creating reporting systems, automating workflows, employing AI tools, and collaborating on metrics and performance analysis.

Seeking a Data Scientist to build data solutions using deep learning and statistical tools, collaborating with product teams and clients to extract insights from marketing data.

The Data Scientist I will develop and implement Machine Learning solutions, analyze large datasets, and collaborate with cross-functional teams to drive innovation and insights.

The Data Scientist II role involves developing and delivering machine learning and deep learning models for forecasting needs in advertising campaigns, collaborating with engineering teams and stakeholders.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The Staff Data Scientist will develop metrics for supply path efficiency, design data-driven solutions, mentor junior scientists, and collaborate on model integration into business workflows.

The Staff Data Scientist will lead the design and implementation of AI solutions for fraud detection, mentor team members, and collaborate with various stakeholders to deliver robust data products.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.