Job Description :
Experience using Statistical and Machine Learning algorithms on real data, in commercial environments. Experience in the Telecom Domain is a big plus.
Excellent and wide ranging experience in supervised and unsupervised learning. Reinforcement learning a plus.
Experienced in the use and design of logistic regression, support vector machines, ensemble trees, and neural networks. Optimization problems a plus.
Experience in feature selection, feature engineering.
Candidate should be very client oriented, proactive, innovative, problem solver.
Should be conversant with best practices in data sciences, data mining, and software development.
Excellent communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships.
Lead customer interactions, while facilitating a wide range of activities
Familiarity and experience with the standard machine learning packages, such as numpy, scipy scikit-learn, TensorFlow, keras etc.
Good to have:
Knowledge of real time streaming : Talend, IBM Streams
Knowledge of Data Science Layer - IBM Data Science Stack, KNIME, H20, Data Robot, AWS ML
Experience in AI - IBM DSX, Domino labs
Knowledge of Spark, Yarn, other big data technologies
Deep knowledge of relational SQL (MSSQL) and NoSQL databases (Hbase)
             

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