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As a Product Data Scientist at ZS, you'll lead client engagements by delivering insights and building advanced analytics processes. You will translate client requirements into data science models, tackle business problems using problem-solving frameworks, and present data-driven insights to drive optimizations for clients.

As a Machine Learning Engineer, you will build and manage model pipelines, scale ML algorithms, implement ML Ops, and ensure quality deliverables. You'll collaborate with teams to deliver projects and conduct research on new architecture patterns and technologies.

As an Applied AI Scientist at ZS, you'll develop advanced algorithms to solve complex problems, execute statistical techniques on large data sets to extract trends, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership through research and publications.

The Business Technology Solutions Consultant will drive project lifecycle phases, translating business requirements into technical solutions, managing diverse teams, and ensuring project deliverables are met with quality. Responsibilities include mentoring junior members, client communication, and continuous improvement in technology and processes.

The Business Technology Solutions Consultant will lead project phases, manage technology solutions, mentor junior team members, and collaborate globally. Responsibilities include translating business requirements into technical specifications, managing project plans, and ensuring high-quality deliverables. This role also involves continuous improvement and innovation in client engagements.

The Business Technology Solutions Consultant will lead efforts in project management, translating business requirements into technical solutions, and managing diverse teams for successful project delivery. Responsibilities include mentoring junior members, ensuring project timelines and quality, and driving improvements and innovation.

This role involves driving projects from start to finish, translating business requirements into technical solutions, managing diverse teams, and ensuring successful project delivery by applying various development methodologies and best practices.