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Strong employer brand, metro location, and broad ML/OR skillset requirements increase applicant competition.
Role requires specialized operations research and supply-chain modelling skills, making cross-industry transferability limited.
Explicit years, mandatory ML/OR expertise, and specific Python/PySpark requirements make filters strict.
Solve complex supply chain problems using advanced applied mathematics, AI, ML, simulations, and operations research.
Develop scalable data solutions and write optimized code to process and analyze large datasets efficiently.
Translate model results into actionable insights communicated clearly to business leaders and stakeholders.
6+ years professional experience with Bachelor’s or Master’s in Math, Stats, CS or related; 3+ years for PhD holders.
4+ years programming experience in Python, PySpark, and open-source data science tools.
4+ years applying advanced data science, AI and operations research techniques in solving business problems.
Work Experience Required: 6+ years with relevant qualifications; Retail and supply chain experience is a plus but not mandatory.
Strong technical expertise in operations research integrated with practical supply chain challenges.
Experienced in working with large data, complex model design, and cross-functional collaboration in global supply chain contexts.
Effective communicator able to translate technical findings into business insights and work across locations and time zones.