Oracle Data Scientist - Global IT Team in Burlington, Massachusetts

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.



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