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The Associate - Platform Services will build complex solutions using programming languages and cloud technologies, collaborate with team members, assist in project output creation such as business cases, and manage tasks effectively while demonstrating a consulting mindset in problem-solving.

As a Decision Analytics Associate Consultant, you'll develop advanced statistical models to assist clients in understanding business dynamics, utilizing tools like R and Tableau. You'll conduct custom analyses, communicate findings, and manage client relationships while mentoring junior staff and enhancing ZS's problem-solving capabilities.

The Associate - Platform Services will build complex solutions using programming languages and cloud technologies, collaborate with team members, assist in project management, and help create project outputs. They will leverage technical and business knowledge to solve problems and support senior team members.

As a Decision Analytics Associate Consultant, you'll develop and utilize advanced statistical models to address client challenges, design custom analyses using various tools, and communicate insights through presentations. You'll also manage client relationships and guide project deliverables while mentoring junior associates.

The Cloud Engineering Lead will manage and scale Kubernetes infrastructure, design cloud architectures, and lead containerization efforts. Responsibilities include developing CI/CD pipelines, managing cloud resources with Terraform, optimizing Kubernetes clusters, and providing mentorship to junior members.

As a Decision Analytics Associate Consultant, you will develop advanced statistical models, leverage data analytics to inform decision-making, design custom analyses, synthesize results for clients, and mentor team associates. You will act as a key contact for client projects and focus on delivering impactful solutions.

The Senior Machine Learning Engineer will design, develop, and maintain backend services for ML model deployment, implement ML algorithms at scale, and collaborate with development teams and data scientists for application requirements and integration. The role involves ensuring security compliance, managing the software development lifecycle, and optimizing reusable code for future projects.