Data Scientist

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Primary Skills :

- B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science.

- Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc).

- Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some.

- Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory.

- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc.

- Experience of working with Elastic search is a plus.

- Experience of working on Microsoft Azure is a plus although not mandatory.

- Basic knowledge of Linux and related scripting like Bash/shell script.

Role Description (Roles & Responsibilities) :

- Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives.

- Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features.

- Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots. Skills:- Data Science, R Programming and Python

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