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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 Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale algorithms for large datasets, implement ML Ops, write production-ready code, and collaborate with teams to deliver AI-enabled solutions in healthcare. You'll also research new technologies and contribute to the enhancement of ML engineering platforms.
As a Machine Learning Engineer at ZS, you will design and implement model pipelines, scale algorithms for large datasets, develop and maintain ML engineering platforms, and ensure high-quality code for production readiness. You will collaborate with teams, participate in scrum meetings, and contribute to research on new technologies while focusing on continuous model improvement.
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The Technology Advisory Director at ZS will co-lead the growth of the tech advisory and digital architecture practice. Responsibilities include engaging with clients, driving business strategy, mapping technology solutions, and providing technical expertise in transforming healthcare through technology.
The Decision Analytics Manager will focus on business development and project delivery in the supply chain and manufacturing sectors, particularly in industries like Life Sciences and Retail. Responsibilities include collaborating with SCM leaders, developing methodologies and products, and leveraging analytics to optimize client operations.
The Principal in Supply Chain & Manufacturing will drive practice growth, lead large client engagements, ensure high-quality services, and mentor junior consultants. Responsibilities also include managing risks, staying updated on industry trends, and promoting an inclusive team environment.
The Associate Principal will lead digital transformation initiatives in the DCE Practice by developing content transformation strategies through AI and marketing technology, managing large-scale client engagements across industries, driving business development, and fostering partnerships for innovative content solutions.
As an Associate Principal in Content Transformation, you'll lead Digital CX innovations and large-scale transformation programs, drive sales for content supply chain projects, and develop strategic relationships with clients in the Life Sciences sector.
The Digital Customer Experience - Decision Analytics Consultant at ZS will lead analytical projects using statistical modeling and AI/ML techniques to improve client commercial effectiveness. Responsibilities include project leadership, issue analysis, data analysis, and client insights presentation. Qualifications include a degree in a quantitative discipline, 6-8 years of relevant digital analytics experience, knowledge of analytics tools, and experience in pharmaceutical marketing strategies.
Play a key role in development of data science capabilities for solving problems in the life sciences Supply Chain and Manufacturing (SC&M) space and development of offerings that create scale and advance our analytic platform. Drive parallel SC&M AI programs through effective large-scale project management. Engage with senior client leaders to deliver value through transformative solutions. Contribute to new business opportunities. Drive business and strategy development through project delivery and client relationship management. Motivate, coach and serve as a role model for project team members. Recruit new team members as needed. Own responsibility for work product quality and relevance to client decisions. Establish or maintain ongoing client relationships with key decision makers that drive new business development. Provide thought leadership and innovation within projects and across practice areas. Support development of firm capabilities and offerings (recruitment, training, internal initiatives).
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