We’re creating a more connected travel industry, underpinned by sustainability and long-term investor relations.
Data Scientist, Travel Intelligence, Amadeus IT Group
I joined Amadeus’s team of data scientists coming from an Astrophysics background. Although I enjoyed my work, at some point I became interested in ways I could apply the skills I acquired working in Astrophysics to areas outside of academic research. I wanted to directly apply what I had always done (which included a lot of analysis of large amounts of data, programming, modeling, interpretation of results etc). It was at that time I became interested in Big Data and data science, which is meant to be a very sexy job. Here’s why (or why not!):
Having actual feedback from them (as opposed to stars or galaxies) adds motivation to keep working.
team, I exchanged photons for passengers, but this aspect of my daily work has otherwise remained unchanged.
including the travel industry, of course, but it can also help people make better (and better-informed) decisions in other areas such as healthcare, manufacturing, retail, education, public administrations, and economic development.
for Data Scientists (the McKinsey Global Institute estimates that the “United States alone faces a shortage of 140,000 to 190,000 people [by 2018] with deep analytical skills”). This makes it very exciting, as there are many diverse opportunities and fields where it is possible to work as a Data Scientist.
Today it is very easy to have access to computing resources and large amounts of public data. Almost anyone can do interesting and different things with data.
for people with research and academic backgrounds to contribute to Big Data projects. Many programs have been set up to help with the transition from academia to data science, for instance the Insight Data Science Fellows Program in the US and Science to Data Science in Europe. Data Science is also increasingly present in university programs.
It is not a very visible part of the work, and not one that is a lot of fun, but it is necessary in order to obtain reliable results.
magazine called Data Scientist ¨the nerdy-cool job that companies are scrambling to fill¨. It can be challenging to integrate academic research aspects into a corporate culture. Often, we don´t have the option or the space to explain the details of the methods that were used to achieve a result. Therefore the ability to communicate with different teams is a fundamental part of a Data Scientist’s work.
When I decided to look for a job in data science, I had many interviews for positions with Data Scientist in the title. But every job offer was completely different, ranging from data base administrator to business analyst. Tom Davenport, who described the role and called it the sexiest job of the 21st century, has more recently written that It´s already time to kill the Data Scientist title. It is therefore really important to know what you want to do when you search for a position in Data Science, as Data Scientist is a very broad and ambiguous term!