- Should have solid understanding of probability and stats; Bayesian methods, probability distributions, Central limit theorem etc.
- Should be familiar with some of the following GLM, logistic regression, Random forest, Gradient boosting trees, CART, Na-ve bayes, Linear Program, Mixed Integer program, etc.
- Knowledge of analytical tools such as R/Python/SAS/SQL
- Experience in handling complex data sources
- Dexterity with MySQL, MS Excel
- Strong Analytical aptitude and logical reasoning ability
- Strong presentation and communication skills.
- Strong process/project management skill
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