At Oracle Utilities, we’re applying cutting-edge data science to one of humanity’s greatest challenges\: energy. Our utility customers in the United States and abroad give us energy usage data for tens of millions of their customers, which we then analyze using state-of-the-art machine learning techniques.

 

The Data Science Team at UGBU (Utilities Global Business Unit) builds many of our key insights and analytics, owning them from initial research all the way to scalable, multi-client models that can be deployed at scale for millions of customers around the world, to help consumers save energy and transform how utilities engage with their customers. Right now, we’re currently using deep learning techniques, smart meter data, and cutting-edge big data tools to learn how people use energy on a per-appliance basis, with more projects like this on our roadmap.

 

We are seeking highly motivated students with data science expertise to join our team. You will be involved in high profile projects; you will conduct data analysis and develop data science models to solve important business problems. You will have the opportunity to engage collaboratively with the teams throughout the organization and present your findings to a broad audience.

 

Requirements\:

·         Currently pursuing an academic degree in Data Science, Computer Science, or related fields

·         Experience evaluating, fitting, and interpreting results of common data science models

·         Experience with Python

·         Self-motivated, independent, organized and proactive

·         Ability to think analytically, critically and work autonomously

 

 

 

Location

·         Arlington, VA

!|!This job code is utilized for the majority of our temporary hires. The individual is performing hourly job duties as defined under the Fair Labor Standards Act.





Oracle is an Affirmative Action-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, protected veterans status, age, or any other characteristic protected by law.

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