Responsibilities:

• Develop and refine models to predict consumer behaviour and help prescribe actions to improve forecasting, personalization, user engagement, and monetization
• Continuously identify new data sources; explore, consolidate unstructured and diverse data, and incorporate into analyses and models.
• Work with engineering colleagues to onboard data as needed.
• Transition proof of concept models into scalable productionalized solutions for consumer facing experiences
• Gain deep insight into user behaviour and business impact; present findings to internal stakeholders.
• Support exploration of new technologies and analysis methods to identify growth / efficiency opportunities
• Interacts with product, marketing, and service teams to identify questions and issues for data analysis and experiments.
• Help educate, influence, and inspire adoption of data science best practices.

Key Skills:

• Work experience in applying Machine Learning, Statistics, text-mining, social network analysis, information retrieval, information extraction, AI, deep learning etc.
• Strong in-depth knowledge in different areas of data mining as well as reasonable programming and design skills to manipulate Big Data and build prototypes that work on massive datasets.
• Strong programming experience in at least one of the programming languages such as - Python, C/C++, Java, Scala.
• Experience in using tools such as Scikit-Learn, Spark MLlib, R, Weka, GATE, Cluto, Solr. / Lucene, ML-Pack, Vowpal Wabbit, LibSVM, Mallet etc.
• Peer-reviewed Publications at top international conferences/ journals in fields related to data mining, knowledge discovery.