Minimum Requirements
What you’ll bring to the role:
• Education (minimum/desirable): B-TECH/M.S/Ph.d in Computer Science, Robotics, Mathematics, Statistics, Operations Research, Cognitive Sciences, Psychology, Engineering, Finance, Economics, Medicine, Technology, Management Science, Quantitative Methods and other related disciplines.
• Experience: Experience (2-3 years) in Statistical and Machine Learning techniques related to Exploratory Data Analysis, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing (NLP) techniques on unstructured data like feature extraction, classification, and clustering, and sentiment analysis.
• Crafting and deploying ML modelling, prediction pipelines
• Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization techniques, Deep Learning techniques on structured and unstructured data, Recommender Systems (content and collaborative filtering), etc.
• Experience with Social Media Analytics
• Tools and Packages: Good command over Python, Proficient with SQL
• Exposure to Dataiku and UI interface tools like R-Shiny, Stream-lit, etc. desirable
• Exposure to AWS and ML Pipelines on cloud desirable
