Top Tech Jobs & Startup Jobs

Experience in creating GenAI applications, developing RAG-based pipelines, crafting and optimizing prompts, scaling applications, and working with various LLMs. Must have skills in Python, AWS/Azure, Data Science, Gen AI tools, and Software Engineering.

The Data Strategy Solutions Associate Consultant at ZS will develop and deliver data strategies to optimize governance and operations, handle data sourcing strategies, and contribute to portfolio analytics. The role demands collaboration with internal and external teams to enhance healthcare data insights and drive value creation.

The Head of Content & Creative is responsible for developing and executing creative strategies for ZS while leading a large team. This role involves collaborating with various teams to ensure marketing strategies translate into impactful content, enhancing brand reputation through promotional assets, and leveraging AI and outsourcing strategies.

The Head of Content & Creative will develop and execute ZS's creative strategy and lead the content and design teams. This role involves establishing KPIs, fostering innovation, leveraging AI, and enhancing promotional assets to elevate the brand's reputation in the market.

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 (Sr. Lead, Customer Success) is responsible for leading client engagement, delivering insights, and overseeing data science modeling. This role involves developing advanced analytics processes and operational pipelines, translating client needs, and presenting data-driven solutions for business optimizations.

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.