We are looking for a Senior Data Scientist who has strong analytical skills in the areas of data mining, forecasting and optimization and has the ability to work in an agile environment and work with cross-functional teams responsible for product design, development, integration and testing.
As part of the Oracle Retail Science R&D group, you will be designing and prototyping analytical approaches to solve challenging retail business problems in close collaboration with product management and solution architects. Our team develops new ways to help retailers forecast sales, set prices, plan assortments and categories, and optimize their supply chain execution. Our customers are the major retailers in all market segments and geographies. Some of the products developed by this group are listed here: https://www.oracle.com/industries/retail/insight-science-suite.html
Detailed Description and Job Requirements
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Job duties are varied and complex utilizing independent judgment. May have project lead role. 5 years relevant work experience. BS/BA preferred.
As part of Oracle's employment process candidates will be required to successfully complete a pre-employment screening process. This will involve identity and employment verification, professional references, education verification and professional qualifications and memberships (if applicable).
Travel:Yes, 25 % of the Time