Job Description

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.
About Us and the Product
Are you passionate about leveraging data to drive decisions? Do you love to find patterns in large data sets? At Oracle, we have a new offering in Enterprise Performance Management called Intelligent Performance Management which leverages machine learning and predictive analytics. The offering adds value to Oracle’s existing suite of EPM Applications.
Oracle’s market-leading Enterprise Performance Management (EPM) applications—combined with the innovation and simplicity of the cloud—enable companies of any size to drive predictable performance, report with confidence, and connect the entire organization.
Responsibilities
Data scientists looks at data collected from disparate sources and analyze it from various angles, make inferences and eventually recommend certain application of data that helps make appropriate business decisions. The data scientist would study the EPM Applications offerings in-depth, explore the insights that the Applications data provide and envision adding new dimensions to the offerings using what-ifs, predictive, big data and other advanced analytics. In the process data scientist would leverage his / her knowledge of statistical analysis and data visualization in coming up with the recommendations.
About the Successful Candidate The successful candidate is a self-motivated technical leader who can deal with complex problems without supervision. She/he is a curious person in finding patterns and insights in massive unknown data sets. Qualifications for this position are:
Must qualifications for this position are:

• Overall 8 to 15 years’ experience in

· Data mining and data sciences · Data modeling, hypothesis testing, statistical, mathematical, predictive modeling, machine
learning · Using time series analysis techniques · Building forecasting models for financial & operational use cases

• Expertise in Python

• Knowledge of analytic methods such as clustering, association rules and decision trees

• Effective communication skills and strong problem resolution skills

• MS or PhD or equivalent
  

Desirable qualifications for this position are:

• Familiarity with Java/J2EE technologies

• Experiences with Big Data technologies