Data Science+ Python

o 5+ years of experience in analytics, machine learning, advance statistical techniques, AI and AWS

o Excellent presentation skills

o Experience in managing Python codes and collaborating with customer on model evolution.

o Python, SQL, machine learning,Cloud ( AWS, Azure, GCP).

o Statistical/Machine learning methodologies: Logistic Regression, Linear Regression, Time series, Cluster analysis, Random Forest, Gradient Boosting Algorithm, SVM, KNN, Weighted KNN, PCA, Naïve Bayes, Text analytics, deep learning, IDE/Tools RStudio, Python, Oracle

o Checking for assumptions like linearity, multicollinearity, autocorrelation & heteroscedasticity etc. Also worked on Time series Analysis (ARIMA).

Shift timing-1pm- 10pm.

Requirements

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Bachelor’s/Masters degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply.

oStrong and in-depth understanding of statistics

oData analysis experience.

o 5+ years of experience in analytics, machine learning, advance statistical techniques, AI and AWS

o Excellent presentation skills

o Experience in managing Python codes and collaborating with customer on model evolution.

o Python, SQL, machine learning,Cloud ( AWS, Azure, GCP).

o Statistical/Machine learning methodologies: Logistic Regression, Linear Regression, Time series, Cluster analysis, Random Forest, Gradient Boosting Algorithm, SVM, KNN, Weighted KNN, PCA, Naïve Bayes, Text analytics, deep learning, IDE/Tools RStudio, Python, Oracle

o Checking for assumptions like linearity, multicollinearity, autocorrelation & heteroscedasticity etc. Also worked on Time series Analysis (ARIMA).