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).
Responsibilities
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.
Good to Have
Experience on Simulation and Optimization
Visualization packages like Tableau/ Power BI
Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP