Oracle Corporation

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Principal Data Scientist

at Oracle Corporation

Posted: 6/8/2018
Job Reference #: 18000P4K
Keywords: technical

Job Description

Are you a seasoned engineer or data scientist who has extensive experience working with scaling, storing, and analyzing data?  Are you a Senior Software Engineer with distributed systems and Big Data experience who wants to dream up new data possibilities and come up with creative solutions to utilize and analyze massive data streams? If so, read on.

The Internet of Things revolution is happening now. Soon there will be millions of devices and systems generating enormous streams of data. We developing an IOT platform that connect and manage millions of devices and store, process and analyze device data in realtime and provide predictive analytics. 

We are looking for highly accomplished data scientists to join the IoT & Blockchain software development team. You will design and implement a new set of AI/ML enabled IoT and Blockchain applications

Responsibilities

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. Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 

Desired Skills and Experience

- 8 years relevant work experience.

-  MS  or BS in Applied Mathematics, Physics, Computer Science, Statistics or related technical field

- Hands-on experience in data mining and predictive analytics with machine learning/statistical modeling techniques

- Advanced data science tools such as R or Python

- Experience with wrangling large datasets with big data tools such as Hadoop, Hive and Spark

- Experience applying computational algorithms and statistical methods to structured and unstructured data

- Flexibility, adaptability and the ability to learn quickly in various technical and creative environments, while delivering quality work by tight deadlines

- Ability to perform thorough analysis of complex data, draw sound conclusions, and devise actionable strategies

- Neural networks experience is a plus, especially with RNNs and CNNs

- Experience with Tensorflow, Keras APIs etc. is a plus



Qualifications

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.

Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 8 years relevant work experience. BS/BA 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.