Data Analytics- Hyderabad (1-2 Years Of Experience)

250k to 500k 1.0 years Hyderabad

Classification , Decision Trees , Fraud Analytics , Hadoop , Machine Learning , Mapreduce , Naive Bayes , Neural Network , Python , R , Sas , Segmentation , Splunk , Supervised Learning , Tableau , Unsupervised Learning

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Job Description and Responsibilities

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

Does Not Matter

Minimum Qualification

Under Graduate

Compensation

250k to 500k

Skills hiring for

Classification , Decision Trees , Fraud Analytics , Hadoop , Machine Learning , Mapreduce , Naive Bayes , Neural Network , Python , R , Sas , Segmentation , Splunk , Supervised Learning , Tableau , Unsupervised Learning

Locations hiring at

Hyderabad

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