"1 to 3 years of experience in product analytics\n- Highly conversant with Google Analytics and other similar tools\n- Basic programming ability(preferably R or Python)"
"Primary Skills : \n\n- B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. \n\n- Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). \n\n- 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. \n\n- Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. \n\n- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. \n\n- Experience of working with Elastic search is a plus. \n\n- Experience of working on Microsoft Azure is a plus although not mandatory. \n\n- Basic knowledge of Linux and related scripting like Bash/shell script. \n\nRole Description (Roles & Responsibilities) : \n\n- 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. \n\n- Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. \n\n- Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots."