Data Science Manager - Supply Chain & Manufacturing

Data Science Managers (DSMs) 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. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space.You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques.

What Youll Do:

• Drive client engagements and lead end-to-end development deployment of AI/ML/data science solutions as per client requirement.
• 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 to ensure the successful execution of client projects.
• Drive business and strategy development through project delivery and client relationship management;
• Develop/sell new business opportunities
• Direct multiple projects simultaneously, honing analytic and project management skills;
• Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform;
• Motivate, coach and serve as a role model for project team members
• Provide thought leadership and innovation through research and publication.

What Youll Bring:

• 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 advance 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;