Oracle Data Scientist in Santa Clara, California
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 & customersatisfaction
Analyze large data sets to develop new models and algorithms topredict demand & supply performance, trend, cost, customer satisfactionsetc.
Develop data driven algorithm for optimization of desired variableperformance
Improve model accuracy
Partner with cross-functional team members to identify andprioritize actionable, high-impact insights across a variety of core businessareas
Provide expertise on mathematical concepts for the broader appliedanalytics team and inspire the adoption of advanced analytics and data scienceacross the entire breadth of our organization
What are you looking for in acandidate?
BS or MS inMath, Statistics, Operational Research, ManagementInformation Systems
GPA– 3.2 or greater
No visa sponsorship is available for thisposition
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, PredictiveAnalysis
Predictive Modeling and Analytics: R, SAS, Excel, Octave,SciPY, NumPY, Pandas,Tableau, Microstrategy, Qlikview, OBIEE, SAS, BusinessObjects, 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 environmentwith a level of ambiguity consistent with new business models.
Team player, excellent leadership, interpersonal andcommunication skills at all levels.
Detailed Description and Job Requirements
Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications.
As a member of the software engineering division, you will develop software according to provided design specifications. Analyze system specifications and existing business processes and information systems. Build enhancements and resolve bugs. Build and execute unit tests and unit test plans.
Work involves some problem solving with assistance and guidance in understanding and applying company policies and processes. Gaining competence in own area and acquiring a higher level understanding of role, processes and procedures. BS degree or equivalent experience relevant to functional area. 0-2 years of previous software engineering or related experience.
Job: Product Development
Location: US-CA,California-Santa Clara
Job Type: Regular Employee Hire