Oracle is looking to hire early-career talent to power next-generation services and solutions, enhance learning experiences, build networks, and accelerate opportunities to make an impact by working on data science projects.
Requirements
- 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 Inference/Analysis
Responsibilities
- 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
Other
- 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.
- Attend a university in the US.
- Authorized to work in the US in 2024.
- No visa sponsorship available
