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Data Science Manager - Supply Chain & Manufacturing

Salary

$215k - $224k

Min Experience

9 years

Location

Princeton, New Jersey, South San Francisco, California, Foster City, California, Thousand Oaks, California, New York, New York, Philadelphia, Pennsylvania, Bethesda, Maryland, Boston, Massachusetts

JobType

full-time

About the job

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About the role

Lead end to end development life cycle of innovative ML-based enterprise products for complex business problems Architect and implement AI-enabled data products Lead team efforts in research, conceptualization and design for new product line Research and assess state-of-the-art AI algorithms for natural language understanding, personalized assisting tools etc. Own, drive, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data science Lead a hybrid teams of scientists + engineers to create AI solutions Engage with senior client leaders to deliver value through transformative solutions Work in tandem and partner effectively with global ZS colleagues Publish thought leadership pieces and present at leading industry conferences Foster ZS talent through recruiting and training contributions Shape ZS firm strategy in newer areas and practices including AI

About the company

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.

Skills

data science
machine learning
natural language processing
big data
cloud computing
programming
problem solving
leadership
domain knowledge