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Data Scientist - Global IT Team

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.
Acknowledged authority within the Corporation. Acts as a leader of large-scale company initiatives. Viewed by peers as a leader and top contributor and by line management as a key business partner. 10 plus years experience. BA/BS degree preferred.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
ORACLE'S GLOBAL IT TEAM
Data Scientist
Oracle's Business Enterprise and Strategy (BES) delivers several critical services to the entire Global IT (GIT) organization encompassing key areas such as Business Relationship Management, Vendor Engagement, Communications, M&A and Enterprise Architecture.
We are looking to fulfill a key Data Scientist role to build-out a recommendation system based on statistical models and BI analysis. The Data Scientist will be responsible for creating reports and findings to be presented to GIT Leadership Team (LT) by exposing assumptions, validation work, and ROI/ business case formulation that can be easily understood. The ideal candidate can demonstrate excellent communications skills needed for cross-departmental collaboration.
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The candidates will be reporting to the Senior Director of Vendor Engagement and will focus on accurate data generation while leveraging existing Oracle and Open Source tools. This is in support of the GIT vision of Cloud First deployments.
_Responsibilities Include:_
__
Understanding of statistical models, linear algebra, clustering and classification__
Automated scoring using machine learning techniques__
Data wrangling, data hygiene, and data cleansing techniques
Modeling complex problems, discovering IT/partner/customer insights and identifying opportunities with visualization techniques using Business Intelligence and similar tools
Understanding of Oracle Cloud technologies including Oracle and Non-Oracle workloads__
Data modeling and Data Lake utilizing Hadoop and ingestions of structured, semi-structured, and non-structured data
_Requirements_
Knowledge and hands-on usage Python and database; Oracle SQL__
Kafka/Cloudera stack experience
Open Enterprise R or other statistical engineering tools for isolated use case analysis
Data modeling and Data Lake utilizing Hadoop and ingestion of structured, semi-structured, and non-structured data
Familiarity of statistical tests, distributions, maximum likelihood estimator
Data wrangling, data hygiene, and data cleansing techniques
Proficient at integrating and preparing large, varied datasets, designing specialized database and computing environments, and communicating results
Understanding of Oracle Cloud technologies including Oracle and non-oracle workloads
Improve and extend the features along with integration to external systems
Plus:
Familiar with Oracle Streaming Analytics
Familiar with Oracle tools including Golden Gate, Autonomous DB, Autonomous Analytics, Advanced Analytics on DB
Prior experience with Data Analytics, Visualization, and BI tools, preferably to include Predictive, Graph, Spatial, Semantic
Other requirements:
BS/BA degree with a Math focus preferred
8-10 years of experience with a BI tool and Statistical Analysis
Over 5 years with BI, Data Modeling, Statistical Analysis, SQL
Proven written communication skills such as publishing blogs, success stories and marketplace listings
Ability to adapt to changes quickly
Preferred location: Denver, Boulder area, CO
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
Job: Business Operations
Organization: Oracle
Title: Data Scientist - Global IT Team
Location: United States
Requisition ID: 18001847


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