Masters'/PhD. in Economics/Statistics/Mathematics/Computer Science or related field with 7-12 yrs. exp. in Predictive Modeling, Machine Learning, Big Data technologies.
Working proficiency in R, Python, Spark, Hadoop.
Experience working in telecom domain (anamoly detection, churn modeling, churn prediction, root cause analysis) is a plus.
Managing a small team of 4-6 data scientist.