Data Scientist - IT

- Hands on analytics professional with the ability to conceptualize, architect and design, develop and implement solutions for complex business problems.

- Should be proficient in conducting advanced data analysis and applying advanced statistical and predictive modeling techniques to build, maintain and improve on multiple real-time decision systems.

- Should have experience in using Machine Learning algorithms and business visualization

- Should have experience in handling large, complex, multi-dimensional datasets including structured, unstructured, real time and social data

- Should have very good knowledge and experience in big data technologies - Hadoop, Spark, Kafka, flume, Hive, Impala etc.

- Should have strong programming skills in R, Python, SAS, SQL and NoSQL databases.

- Should have experience handling large and complex analytics assignments as lead data scientist