The Oracle Labs Data Studio team at Oracle Labs has an opening for an 6-month internship to extend its web-based data science platform.
Oracle Labs
Oracle Labs is the advanced research and development arm of Oracle. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Oracle Labs researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product-development organization. Oracle Labs research is focused on real-world outcomes: our researchers aim to develop technologies that will someday play a significant role in the evolution of technology and society. For example, chip multithreading and the Java programming language grew out of work done in Oracle Labs.
Oracle Labs Data Studio
Oracle Labs Data Studio is a web-based notebook platform for data scientists. By combining live code collaboration in multiple programming languages with graph analytics and rich, interactive visualizations, Data Studio accelerates the process of exploring and gaining insights from your data.
Data can be imported to the platform from various sources and analyzed with interpreter environments for a range of programming languages (Python, R, Shell, Spark, and others). For graph data (think social networks or financial transactions), Data Studio comes packaged with Oracle Labs' graph analytics tool (PGX) and property graph query language (PGQL), adding an interactive visual layer that supports filtering graphs, highlighting elements, visualizing geographical data, and expanding/contracting the view, enabling users to explore large graphs intuitively.
Data Studio components form a re-usable base for enterprise software products tailored to specific industries. Example use cases include financial crime detection and compliance, machine learning for health sciences, and market segmentation for retail.
As part of your internship, you will be working on extending Data Studio – for example by implementing new features, enhancing existing functionality, measuring and improving performance, fixing bugs, etc.