1. This position requires the individual to stitch together fields of machine learning, data design, data mining, statistics, user behavior, computational economics and data streams to define and drive mobile user data analysis and research at RJIL2. The person will be responsible for solving complex big-data problems in mobility and cloud applications space using data mining, machine learning, statistical analysis and computational economics.3. An ideal candidate should have strong depth and breadth knowledge in machine learning, data mining and statistics. 4. The candidate should have reasonable programming and design skills to manipulate unstructured and big data and build prototypes that work on massive datasets. 5.The candidate should be able to apply business knowledge to perform broad data analysis as a precursor to modeling and to provide valuable business intelligence
Skills & Competencies :
1. Expertise in providing an end to end BI solution by configuring metadata and building Analytics Repository, dimensional modeling design, building business models, generating reports and creating dashboards using Analytics.2. Strong technical knowledge of Pentaho and related BI Applications, including approach to implementing, extending and supporting using third party modules3.Strong technical understanding of data structures generated by mobile applications and networks, and how they relate to establishing data warehousing, data management and analytic architectures.
0.00-50.00 Years Masters in Technology (M.Tech/M.E/M.Sc)