Candidate should have good understanding of statistics/time series forecasting/Optimization methods and approaches. The candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve client’s business problem in the supply chain area. Additionally, the role would require contributing towards asset development initiatives.
Experience and Education:
2-3 years of experience in Machine Learning, Time series forecasting or Optimization Techniques.
Master’s degree in technology or engineering or quantitative field (e.g. MSc in Statistics and Operations Research, M.Tech. in Industrial Engineering, Applied Math/Statistics, Computer Science, MBA in Operations).
Certifications in any one or two of the areas will be an added advantage: Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/ GCP/ AWS).
Mandatory Skills:
Must have:
Proficiency in data modeling developed through client projects.
Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems.
Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience.
Proficiency in any one of the Cloud solutions – Azure, GCP or AWS
Proficiency in SQL for data preparation, manipulation, and descriptive analysis
Proficient in supply chain domain
Excellent written and oral communication skills
Good to have:
Experience on Simulation and Optimization
Visualization packages like Tableau/ Power BI
Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP
Exposure to Client interaction
Exposure to business platforms (o9/Kinaxis/BY)
Skills
Management and Manufacturing
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S&C Global Network - AI - Supply Chain Analytics-AnalystNot disclosed
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