What’s the role?
Do you view Supply Chain as a playground of opportunity? Oracle Worldwide Operations manages the hardware supply chain for both the (external) commercial business and also for internal customers in support of the rapidly growing Oracle Cloud. In responding to increasingly complex business environment, a new Center of Excellence organization within Global Planning & Fulfillment has been formed to focus on designing, scaling & transforming business processes, system capabilities & advanced analytics to enable successful GP&F operations & optimize business outcome We are seeking highly-talented supply chain professionals can strengthen our capabilities and help enable the broader business objectives. The Data Scientist is responsible for enabling predictive analytics/models for GP&F operation consumptions. Work closely with Business Architect, Functional Experts & Operations to provide business insights extracted through various models from large structured or un-structured data. If you enjoy taming ambiguity and complexity by developing value-add structure, new capabilities & process agility, this challenge may be for you.
What will I do?
Create Business insights for large dataset / structured & un-structured
Design, develop and deliver actionable insights to drive growth, improve forecast accuracy and increase profitability & customer satisfaction
Analyze large data sets to develop new models and algorithms to predict demand & supply performance, trend, cost, customer satisfactions etc.
Develop data driven algorithm for optimization of desired variable performance
Improve model accuracy
Partner with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas
Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization
What are you looking for in a candidate?
Basic Qualifications
BS or MS in Math, Statistics, Operational Research, Management Information Systems
GPA – 3.2 or greater
Graduating between December 2017 and May/June 2018
Additional Qualifications
Mathematical and Statistical Analysis - Probability, Regression, Correlation, Significance testing, Forecasting, Optimization, Multivariate Analysis, Factor Analysis, CyberSecurity
Machine Learning - Regression, Clustering, Decision Trees, K-Means, Neural nets, Naive
Bayes, Artificial Intelligence, Fuzzy Logic, Predictive Analysis
Predictive Modeling and Analytics: R, SAS, Excel, Octave, SciPY, NumPY, Pandas,Tableau, Microstrategy, Qlikview, OBIEE, SAS, Business Objects, Pentaho
Databases: MySQL, Postgres, Oracle, SQL Server,Vertica
Big Data / NoSQL: Hadoop, HDFS, Map Reduce, Pig, Cassandra
Languages: Python, R, SAS, Java, C#, SQL, PL/SQL
Ability to thrive in a fast-pace and dynamic environment with a level of ambiguity consistent with new business models.
Team player, excellent leadership, interpersonal and communication skills at all levels.