Passion and deep technical competency in quantitative methods and/or business analyticsProven problem solving skills in industrial settings Proven ability in model building and application experience in data mining techniques and tools modeling packages like R, Matlab, Mathematica, ILOG )Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior managementSelf motivated to continuously upgrade one's domain knowledge, keep abreast of latest developments in the field and evaluate its application in the business area on a consistent basis.Building best-in-class predictive models taking into account business constraints.Contributing to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and loss experienceAbility to concentrate on loosely defined problems which require application of creative approaches.Perform quantitative analyses and build analytical frameworks to advise many parts of the team — product, engineering and business operationsPartner with teams to identify trends and opportunities, design meaningful metrics to track the health of our features and platforms, and support product launchesFrame and answer important business and product questions where data insights have the biggest impactUnderstanding of algorithmic complexity and scaling of run time and memory usage with larger data setsSolid knowledge of linear algebra and convex optimization techniques.Excellent communication skills with the ability to distill complex issues into structured frameworks and actionable insightsHADOOP 0.23.1.0NoSQL 2.0.5R Programming 5.0 Apache Pig 0.12.0 Eclipse BIRT 4.3.1 SAS 9.4 Oracle 11g HIVE 0.12.0 IBM Cognos 10.2 JASPERSOFT 4.7 TACTIC 4.1 Spago BI 4.1RC OLAP - PALO 5.0 SR2 EDM - 1000Minds VSElephas