- The position requires the individual to bring together data science knowledge and business understanding to solve real world business problems and work in a collaborative team environment.

- Proficiency in verbal and written communication skills in English is important.

- Candidate should be research oriented and passionate to learn new technologies and adapt.

An ideal candidate will be/have:

- Proficiency in statistical & programming tools/languages - R, S-plus, SAS, STATA, Python, Java, Scala

- Experience in leading or collaborating with a team of data scientists and engineers in developing and delivering machine learning models that work in a production setting

- Experience in various statistical and machine learning modeling techniques, data mining, unstructured data analytics in corporate or academic research environments

- Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. and large data streaming technologies like Spark, Flink, etc. is a plus

- Familiarity with relational databases and intermediate level knowledge of SQL

- A team player and can deliver under pressure

- An eye for detail, quick learner and can think out of the box