Data Science Manager - Supply Chain & Manufacturing

Data Science Managers

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.