Data Science Manager - Supply Chain & Manufacturing

lives. Our most valuable asset is our people. At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Learn more #LI-RT1 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; Architect and implement AI-enabled data products; 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) Education: PhD degree in Computer Science, Statistics or related discipline; 8+ years of relevant post-collegiate work experience; In lieu of a PhD, 10+ years of work experience may substitute; Required Skills: Experience with machine learning / big data /advanced analytics concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, NLP, recommender systems, etc.); Relevant programming background (e.g. Java/ Python/ R); Strong understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Expertise in Life Sciences Supply Chain and Manufacturing domain and know-how of data, typical use cases for ML, preferred; Experience in applying ML algorithms to complex business problems Ability to frame first-of-a-kind business problems into analytical solutions Ability to rapidly research, experiment, and iterate towards practical working solutions Experience in going beyond POCs to deploying large-scale AI solutions into production Agile project planning and project management experience; Team management and skill development experience; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. ZS is committed to providing and maintaining a safe workplace. In order to keep its employees safe, ZS recommends that all its employees and contractors be fully vaccinated against COVID-19. Proof of vaccination can be voluntarily provided upon acceptance of offer of employment. NO AGENCY CALLS, PLEASE. Find Out More At: https://www.zs.com