Data Science Intern - Global Industries

Overview:

Do you want to get a foot in the door and perhaps even get the chance to interview early for one of the best technology jobs in the world? If so, you may be an ideal candidate for our internship program.

Gain invaluable experience in what it is like to work at a leading global hardware and software systems innovator - Oracle. Your colleagues are industry experts and knowledgeable veterans.  Your contributions will enhance real Oracle products and services.  By the end of your internship you will be connected to a powerful network of professionals, managers, and executives.

Completed second year of undergraduate degree in computer science, computer engineering, electrical engineering, or related area of study.  Strong academic achievement.  Strong interest in technical area of study.

The Program:

Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor’s and master’s degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!

The Company:

Oracle is the world’s leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business—it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.

Career Level - IC0

What You’ll Do:

Data Scientist Intern responsibilities may include, but are not limited to:

• Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.
• Develop models to build solutions to tackle real-world business problems
• Interact with product and service teams to identify questions and issues for data analysis and experiments
• Communicate your analysis findings to product, service, and business managers

We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle.

What You’ll Bring (Objective Minimum Qualifications):

To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume and/or by uploading additional documents such as a transcript.

• Will be enrolled in a Bachelor’s, Master’s or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the 2024-2025 school year.
• Have completed at least your junior year toward your undergraduate degree, or higher, by summer 2024.
• Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in at least one of the following programming languages:
  • Python, Java, R, SQL, PL/SQL.
• Have experience through coursework, projects, internships, and/or research with at least one of the following libraries:
  • Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark
• Have completed coursework, projects, internships, and/or research in two or more of the following:
  • Algorithms
  • Artificial Intelligence
  • Big Data Query
  • Data Mining
  • Data Modeling
  • Machine Learning
  • Statistical Inferenc