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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.
As a Product Data Scientist at ZS, you will lead client engagements by delivering insights from data analytics and building operational data processes. You will analyze complex business problems using advanced algorithms and collaborate with teams to optimize client strategies.
The Product Data Scientist (Senior Customer Success Lead) is responsible for end-to-end delivery of analytics solutions, translating client requirements into data science models, and developing advanced analytics processes. They engage with clients to provide insights and optimize business strategies using cutting-edge technology and data-driven approaches.
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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.
The Product Data Scientist (Senior Customer Success Lead) is responsible for client engagement, delivering insights and data-driven strategies, developing algorithms, and collaborating with cross-functional teams to optimize client outcomes through advanced analytics and engineering processes.
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.
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