• 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
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