Job Qualifications

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)

Bengaluru

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