BTech or MTech in Computer Science, Statistics or related field, with a specialization in Data Science / Machine Learning.
Strong theoretical foundation in mathematical statistics
Hands-on experience with a wide variety of predictive modeling, machine learning, data mining, statistical, text mining, and optimization algorithms.
Deep data analysis and data validation ability to prepare structured and unstructured data for machine learning algorithms.
Experience developing static and interactive data visualizations is a plus.
Experience using statistical tools such as R, Weka, etc. is a plus.
Familiarity with relational databases and SQL, knowledge of NoSQL and MongoDB or CouchDB is a plus.
Experience working with large data sets, experience working with distributed computing tools such as Hadoop, MapReduce, Mahout, Spark, Hive, Pig, etc. is a plus.