Top Hybrid Data Science Jobs in Seattle, WA

The Senior Data Scientist will drive Growth, Engagement, and Retention strategies by leveraging data analysis, statistical modeling, and machine learning. Responsibilities include designing data pipelines, developing machine learning models, evaluating analysis results, and communicating insights to stakeholders, all while collaborating with various teams to influence product strategy and revenue growth.

As an Applied AI Scientist at ZS, you'll develop advanced algorithms, execute data mining techniques, evaluate datasets and technologies, and contribute to the firm's thought leadership in analytics and machine learning.

The Principal Data Scientist role focuses on leveraging data from Magnify's customers to build predictive models for revenue expansion and churn. Responsibilities include improving model accuracy based on stakeholder input, providing thought leadership on data science and machine learning innovations, and collaborating with engineering to develop reliable data science infrastructure.