Senior Data Scientist - Supply Chain
Job Description
Infosys is seeking a highly skilled and motivated Senior Data Scientist specializing in Supply Chain to join our team. The ideal candidate will harness advanced analytics, machine learning, and data-driven methodologies to enhance supply chain efficiency, reduce costs, and optimize performance. As a key player, you will work collaboratively with stakeholders to solve complex supply chain challenges and deliver impactful solutions that drive business success.
Required Qualifications:
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 4 years of experience in Information Technology
- All applicants authorized to work in the United States are encouraged to apply.
- Candidate must live within commuting distance of Raleigh, NC or Tempe, AZ Or Hartford, CT or Richardson, Tx or Indianapolis, INor be willing to relocate. Travel within the US may be required.
- At least 3 years of experience in programming languages such as Python, SQL and experience with data visualization tools like Tableau or Power BI.
- At least 3 years of experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services.
- At least 1 years of experience in data science with a focus on supply chain analytics, supply chain processes, including demand forecasting, inventory optimization, logistics, and procurement.
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- Experience with machine learning frameworks, optimization solvers , and big data ecosystems (e.g., Hadoop, Spark).
- Advanced degree (Master's or Ph.D.) in Data Science, Supply Chain Management, Operations Research, Industrial Engineering, or a related field
- Experience in price sensitivity analysis, cost-plus pricing, value-based pricing, promotional effectiveness analysis, and tiered pricing strategies.
- Experienced in Agile way of working, manage team effort and track through JIRA
- High Impact client communication
- Experience working in a consulting environment is highly desirable.
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Date Posted
01/21/2025
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