- 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)
- PhD degree in Computer Science, Statistics Operations Research, or related discipline;
- 8+ years of relevant post-collegiate work experience; In lieu of a PhD, 10+ years of work experience may substitute;
- 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 (OR Chemicals industry) 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;
- Team management and skill development experience;
- Strong attention to detail, with a research-focused mindset. 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.
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Data Science Manager - Philadelphia, United States - ZS
Description
ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that's why here your ideas elevate actions, and here you'll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change 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 andmake 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.ZS's Supply Chain & Manufacturing group helps our clients to drive higher product availability at lower costs (stock-outs, carrying costs, and supply chain operating costs) through leveraging analytics, automation and process re-design approaches. Our offerings span the spectrum of strategy, advanced analytics, planning and technology to optimize deployment of resources (inventory, network, etc.) while maintaining customer service levels.
DATA SCIENCE MANAGER - SUPPLY CHAIN & MANUFACTURING
Data Science Managers design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. Data Science Managers will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space.
Responsibilities:
Qualifications:
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