Dear Data Scientists – make your job easier!

You are the modern Indiana Jones of digitalization! Always on the lookout to increase knowledge, show relations and take your organization to the next level. Just like the great discoverers like Leif Eriksson, Vasco da Gama and Lewis and Clark, you never let yourself be stopped from pursuing an idea and discovering new possibilities. As Margaret Hamilton, Katherine Johnson or Marie Curie you recognize structures, patterns and find ways to solve problems or make processes more efficient. And just like these people you have a huge pool of methods, tools and knowledge that you use every day. With your skills you can simplify the daily work of your colleagues, relieve them and get things straight concerning the data jungle. Your own work is often difficult and inconvenient.

Every day you are faced with a multitude of challenges in your projects: How do you get feedback from the departments, how do you share your scripts with other data scientists or how do you distribute your scripts quickly and easil? You quickly want to connect and access data? Performance and compliance are less interesting for you than making your results available to different groups?

Wouldn't it be great if you also had a solution that would make your work easier?

Let's consider the common data science languages R, Python and Julia. Maybe you were involved in projects where analysis scripts were available in different languages. A platform that would be able to use all these languages, regardless of the language, but still fully, with all their (connectivity) packages and libraries - that would be something, wouldn't it? If you could continue using your usual IDEs, you wouldn't even have to change your work.

Imagine you could run the scripts you develop in a scalable environment. In an environment where you wouldn't have to worry about data retrieval, user queries and data sources. And when all agents work together, thanks to dynamic load balancing, you and your analysis deserve the "big" in "big data".

Pair the above examples with advanced script execution logging, so you'll know exactly what your scripts are always outputting. Imagine a platform where parameterized, automated, sequential script execution is standard. Imagine being able to evaluate and optimize your scripts before, after and during production?

Or in short: Would it be exciting to work in a software solution that was developed in collaboration with you? By people who experience exactly the same things as you do every day.

With this idea YUNA was developed - The data science platform by data scientists for data scientists