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The Head of Content & Creative at ZS will lead the development and execution of the creative strategy, manage a large team, and ensure alignment with the company's branding and marketing goals. The role involves inspiring a collaborative culture, leveraging AI to enhance team capabilities, and producing high-quality promotional assets to elevate ZS's market presence.

The Regional Manager Sales at ZS will focus on building partnerships with enterprise clients, managing internal leads, cold calling, and conducting executive presentations to drive revenue growth for a new AI SaaS product. This role emphasizes customer relationship management, awareness building, and collaborative proposal execution.

As a Product Data Scientist (Senior Customer Success Lead) at ZS, you will lead client engagements by delivering impactful analytics solutions, translating client requirements into data science models, and providing insights to solve complex business problems. You will collaborate with project teams and utilize advanced analytics frameworks and data engineering skills to optimize client operations.

The Product Data Scientist will lead client engagements to deliver impactful data science solutions, translating requirements into actionable insights. Responsibilities include developing advanced analytics processes and operational pipelines while leveraging problem-solving frameworks and analysis tools to address client business challenges.

The Technology Principal will drive practice solutions across clients, contribute to business development, oversee delivery work, and ensure high-quality client services. Responsibilities include supporting the growth of the practice area and managing operational aspects, while consistently delivering quality results within budget and timeframes.

The Product Data Scientist (Senior Customer Success Lead) is responsible for leading client engagements, delivering insights, and translating business needs into data science solutions. They develop advanced algorithms for complex problems, utilizing tools like PySpark, Python, and SQL, to drive client impact and optimize business processes.

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.