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| Job Location | Mumbai City |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | Sales / BDGeneral / Other Software |
| EmploymentType | Full-time |
We are looking for a Principal Scientist for one of our esteemed Clients for Bangalore , Mumbai India Location.RESPONSIBILITIES: Thought leadership in driving research direction in at least one of AI & DS focus areas.Use of cutting edge AI techniques for building advanced prediction and recommendation systems , knowledge mining , insight generation , and business automation.Understand business challenges and goals to formulate the approach for data analysis and model creation that will support business decision making.Research on innovative technologies to come up with novel data mining , modeling / segmentation approaches required to solve unique and complex business problems , as well as create publications and patents from them.Interpret , document and present / communicate analytical results to multiple business disciplines , providing conclusions and recommendations based on customer - centric data.Manage and mentor other data scientists and associate data scientists.REQUIREMENTS : PhD (with 2 years of experience) in a relevant field such as Probability , Statistics , Machine Learning , Data Mining , Artificial intelligence / Computer Science and with significant publication record in top - tier conferences and journals.Experience with building data analytics models via supervised and unsupervised machine learning and deep learning , statistical analysis , and predictive modelling techniques.Strong analytical and quantitative problem - solving abilityStrong background and experience in using R , SAS , MATLAB or equivalent statistical / data analysis tools and technologies is a must.Background in complex modelling and advanced analytical models with structured and un - structured , multi - model , high dimensional data.Exposure to Big Data platforms like Hadoop , spark , hive etc and databases like SQL is desirableExposure to reinforcement learning and bandit algorithms is a plusAbility to communicate complex models and analysis in a clear and precise mannerPassion for understanding business problems; and identifying and solving hard technical problems stemming from them by leveraging high - volume and high dimensional data from multiple sources.,
Keyskills :
research api hplc processdevelopment validation bigdata datamining dataanalysis deeplearning dataanalytics computerscience machinelearning commercialmodels thoughtleadership insightgeneration tatistic