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 a Staff Data Scientist, you will lead the Member Data Scientist team to analyze data for driving Growth, Engagement, and Retention strategies, mentor team members, develop machine learning models, and communicate insights to stakeholders, while collaborating with various cross-functional teams.

The Principal Engineer, Machine Learning / AI will drive technical capabilities in ML and AI across multiple teams, mentor data scientists, lead technical standards, and advocate for best practices. The role involves hands-on development of ML/AI products and collaboration across various business units to enhance systems and products.

As a Senior Data Scientist, you will apply your expertise in quantitative analysis and machine learning to drive informed decision-making and optimize product development processes. You will collaborate with cross-functional teams to identify opportunities and deliver actionable insights through data modeling and statistical analysis.

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.