Data Science Manager - Supply Chain & Manufacturing

You will be joining a passionate and impactful team at ZS, a management consulting and technology firm dedicated to improving lives through the fusion of data, science, technology, and human ingenuity. Your role as a Data Science Manager in the Supply Chain & Manufacturing industry will involve creating custom solutions and technology products that drive value and deliver results for clients. You will work collaboratively with clients to develop AI/ML/data science solutions, lead large-scale engagements, design predictive models, and mentor a team of data scientists. **Key Responsibilities:** - Drive client engagements and lead end-to-end development & deployment of AI/ML/data science solutions as per client requirements. - Lead large scale client delivery engagements in AI projects for the Supply Chain & Manufacturing Industry. - Architect and develop predictive models, optimization algorithms, and statistical analyses. - Lead and mentor a team of data scientists, providing guidance and support for successful project execution. - Drive business and strategy development through project delivery and client relationship management. - Develop/sell current business opportunities. - Direct multiple projects simultaneously, honing analytic and project management skills. - Play a key role in developing data science capabilities and offerings that create scale and advance the analytic platform. - Motivate, coach, and serve as a role model for project team members. - Provide thought leadership and innovation through research and publication. **Qualifications Required:** - 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. - Hands-on experience in applying advanced analytics leveraging techniques of AI, ML to Supply Chain areas like Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics. - Experience leading a team of data scientists, data engineers, domain experts, LLM engineers, DevOps across multiple projects. - Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.). - Relevant programming background (e.g. Python/R). - Proven track record of business development. - Agile project planning and project management experience. - Team management and skill development experience. - Relevant domain knowledge preferred (healthcare, pharma). - Excellent oral and written communication skills. - Strong attention to detail, with a research-focused mindset. - Excellent critical thinking and problem-solving skills. Joining ZS will provide you with opportunities to grow through cross-functional skills development, custom learning pathways, milestone training programs, and internal mobility paths. Additionally, you will enjoy a comprehensive total rewards package that supports your health and well-being, financial future, and time away. You will be joining a passionate and impactful team at ZS, a management consulting and technology firm dedicated to improving lives through the fusion of data, science, technology, and human ingenuity. Your role as a Data Science Manager in the Supply Chain & Manufacturing industry will involve creating custom solutions and technology products that drive value and deliver results for clients. You will work collaboratively with clients to develop AI/ML/data science solutions, lead large-scale engagements, design predictive models, and mentor a team of data scientists. **Key Responsibilities:** - Drive client engagements and lead end-to-end development & deployment of AI/ML/data science solutions as per client requirements. - Lead large scale client delivery engagements in AI projects for the Supply Chain & Manufacturing Industry. - Architect and develop predictive models, optimization algorithms, and statistical analyses. - Lead and mentor a team of data scientists, providing guidance and support for successful project execution. - Drive business and strategy development through project delivery and client relationship management. - Develop/sell current business opportunities. - Direct multiple projects simultaneously, honing analytic and project management skills. - Play a key role in developing data science capabilities and offerings that create scale and advance the analytic platform. - Motivate, coach, and serve as a role model for project team members. - Provide thought leadership and innovation through research and publication. **Qualifications Required:** - 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. - Hands-on experience in applying advanced analytics leveraging techniques of AI, ML to Supply Chain areas like Demand Planning, Fore