— April 6, 2017

Experience : 1 – 2 years
Requirements :
Task Info :

Job Description and Responsibilities

Requirements :

– Should have worked on data heavy projects on risk scoring, propensity / classification modeling, segmentation, promotion analytics, campaign optimization, recommender engines, fraud analytics, etc.

– Strong hands on programming experience in SAS / Tableau / R / Knime and knows the best coding practices.

– Great analytical skills, with expertise in Machine Learning methods such as supervised and unsupervised learning, SVM, Neural Networks, Nave Bayes Classifier, Decision Trees, PCA etc. is MUST.

– Able to create / develop a compelling story to answer business questions using analytics outcomes.

– Must possess good client facing experience with the ability to facilitate requirements sessions and lead teams and present analysis in business terms

– Exposure to Big Data technologies Hadoop, Hive, PIG, MapReduce, SparkML, Python, Splunk will be given priority.

College Preference : no-bar
Min Qualification : ug
Skills : classification, decision trees, Fraud Analytics, hadoop, machine learning, mapreduce, naive bayes, neural network, python, r, sas, segmentation, splunk, supervised learning, tableau, unsupervised learning
Location : Hyderabad

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