Candidate Should be from Premium Institutes.
-Comfortable with various data types and structures: structured and unstructured data, static and streaming data, extensive prior experience in integrating data, profiling, validating and cleansing data
-Define and develop system level designs and custom predictive algorithms for the domain with optimal focus on the business problem, predictive requirement, data nuances, performance and integration challenges in a scalable client server based, and additionally cloud based architecture
-Conceive, design, write, evaluate and implement complex custom algorithms capable of generating Real Time Predictions with huge static and dynamic (Real Time), structured and un-structured data.
Required Skill Set
-5-8 years of relevant experience with an organization known for its cutting edge/ best-in-class applicability of advanced analytics and predictive modeling techniques
-Master's Degree in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research)
-High level of proficiency in statistical tools like SAS, R
-Expertise in programming languages like Java/C/C++/Python
-Experience with relational databases and SQL is a must
-Relevant experience in Big Data platforms like Hadoop and its eco-system
-Experience with big data techniques Pig/Hive/Mahout is a plus.
-Good business and communication skills with an ability to validate and scientifically prove hypotheses for a given business problem.
-Prior experience in building data for complex real time problems.