Develop, process, cleanse and enhance data collection procedures from multiple data sources.
Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
Work closely with product teams to implement algorithms with Python and/or R.
Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
Facilitate integration with enterprise applications using APIs to enrich implementations.
Experience in developing and deploying machine learning, deep learning, NLP solutions.
Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.
Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.
Should have prior experience in developing APIs, services using either C# or Java.
Should have good awareness on entire machine learning/ predictive modeling & implementation.
Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.
Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.
Should have prior experience in developing APIs, services using either C# or Java.
Should have good awareness on entire machine learning/ predictive modeling & implementation.

Lead Data Scientist