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The Applied AI Scientist will develop advanced algorithms for solving high-dimensional problems, execute statistical and data mining techniques on large data sets, evaluate emerging datasets for analytics, and contribute to thought leadership. They will also focus on feature engineering from varied data sources and expertise in machine learning algorithms.

The role involves leading the delivery of client-focused advanced analytics solutions, leveraging data science and engineering skills to provide insights and optimizations for diverse industries. Responsibilities include engaging clients, translating needs into actionable insights, and developing algorithms using tools like PySpark, Python, and SQL.

As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership by researching and publishing on evolving topics.