Ye is a Data Scientist at Cosmo Tech. He answered our questions from the Cosmo Tech headquarters in Lyon, France.
What’s your background and how did you end up at Cosmo Tech?
I studied at Polytech Nice Sophia, where I received an Engineer’s degree in Computer Science. For my end-of-course internship, I came to Cosmo Tech for six months as a Data Science Intern. I worked on two very challenging subjects: applying distributed computing techniques on Cosmo Tech products to improve performance and helping develop new features to provide advanced studies on simulations. After that, I was offered a Data Scientist position on the Product Development team and I happily joined Cosmo Tech.
What is a typical day like for you?
As a data scientist, my work can be divided into three categories:
Firstly, there is data science. This will include data analysis, machine learning, optimization, etc. This is the cool part of my job where I can play with fancy algorithms! I am able to extract insights or knowledge from data sets, which allows me to help improve our product.
Then there is development. It is pretty much the same as other software engineers, where I help design, develop, and perform maintenance on our software. This stage is where I get to work with other members of the team because I am working on two “layers” of our software instead of just one. I also implement the tools that will be used for the specific solution I’m working on, but I also have to develop them in a way that they are generic enough to be compatible with our other solutions.
Lastly, there is data storytelling. After I have extracted all the knowledge, I have to present the business value of all the work I have done! This includes translating the analyses into actions and creating visualizations to help valorise our work.
What’s some advice you could give someone wanting to enter the same field as you?
Data science is relatively new and keeps evolving. A data scientist needs to be passionate about new technology and eager to learn. As seen from my typical day, they also need to be able to work on different things, instead of focusing only on science or programming.