Data Scientist

Knowledge and Skill Required: Expert use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining. Expert use of SQL and experience with relational databases Experience with Hadoop, Map/Reduce, Hive or equivalent Has sufficient depth and breadth of technical knowledge to design and scope multiple deliverables across a number of technologies. Has demonstrated innovation and communication of new deliverables and offerings. Has led team in the delivery of multiple deliverables across multiple technologies. Has contributed to the design and application of new tools. Ability to re-use existing experience to develop new solutions to take to market. Possesses an understanding, at a detailed level, of architectural dependencies of technologies in use in the customer's analytic environment. A recognized expert in one or more technologies within own technical community and also at regional level. Holds a vendor or industry certification in at least one discipline area. Be able to demonstrate a broad understanding of market dynamics, an industry area, commercial issues, and technical concerns whilst maintaining depth in core focus area. Able to produce complete proposals for smaller engagements within own area of expertise. Able to independently complete solution implementation or application design deliverables.