Job Description

A Computer Science Degree (Bachelors or Masters), Mathematics or Statistics (Masters)

Total of 8-12 years of Big Data, Business Intelligence, Data warehousing, Artificial Intelligence and Machine Learning experience

At least 2 years of experience in data science in rolling out production grade solutions to end customers

Technical Skills:
Experience in designing and deploying Analytical Systems, End to end.

Excellent problem-solving skills

Strong verbal and written communication skills

Strong hands-on programming experience with R or Python or Java

Hands-on experience with any of the data science platforms such as RapidMiner, SAS and IBM

Sound understanding of machine learning algorithms, including classification, clustering, association and recommendation generation

Familiarity with Open Source Machine Learning (R, Python), NLP toolkits and deep learning frameworks (TensorFlow, Keras, H2O etc.)

Working experience with statistical inference

Experience with BI (Tableau, Oracle, IBM, Microsoft), Data Science (RapidMiner/ SAS/ IBM), NoSQL (MongoDB, Cassandra, Hadoop, Spark), RDBMS (Oracle, SQL Server) tools

* Experience using cloud computing and storage frameworks such as Amazon AWS (EC2, S3, Redshift, RDS) and Microsoft Azure Storage