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Hi Sophie!
My name is Sophie and I have been a Junior Data Scientist in the Otto Group data.works since October last year. I am a career changer and originally studied musicology . After that, I started working for a music publisher.
In music publishing, I worked on process optimization and automation in addition to data management - and made my first contacts with programming. That piqued my interest so much that I decided to learn the Python programming language, and that's how I eventually came to Data Science. My very IT-savvy circle of friends diligently held my hand in the process.
The start of the day
For me, a good start to the day definitely includes fresh rolls from the bakery. After breakfast, I start my workday at around 9:00. The first thing I do is check Teams, Slack, Outlook and my calendar. And after an initial overview, I pick a playlist for the day. Then I start with the tasks at hand.
As a Junior Data Scientist, I support my team, currently the Profile Services team, wherever possible. This can be ad-hoc analyses on various questions or developing profile characteristics - for example, whether a person's (shopping) behavior indicates that he or she will take advantage of discount promotions in a certain product category.
Most recently, I worked with another team to train a machine learning model that can identify future products as top or flop - even before they hit the store. I am involved in the whole process: from analyzing the available data for quality and content, to programming different models, to presenting the results.
The morning
The morning starts with our Daily Call, where we briefly discuss the status of our tasks, what's on the agenda for today and which team member might need support. Sometimes this is followed by other appointments, e.g. cross-team departmental meetings or meetings with the Group companies whose products we are currently working on.
The lunch break
On campus, we usually go to lunch together at 12:00. Highlight of the week: the burger - and in all possible variations. At the home office, I try to get some exercise at lunchtime, do some sports or at least go for a short walk.
The afternoon
In the afternoon, I often get another creative boost. I work on tasks that I haven't been able to solve until then. Since there are rarely any meetings in the afternoon, I can concentrate completely on a challenge - alone or in pair programming.
The end of the day
Most of the time, the workday is over for me at 6:00 pm. If I'm still coding, it can also be a little later. But that's not a problem thanks to flexitime regulations and I simply start the weekend earlier on Fridays.
And finally: Why Otto Group data.works?
It is simply an incredibly exciting area. The potential applications for AI tools, such as those developed at data.works, are enormously diverse: sales forecasts, customer behavior, chatbots, and so on. We are the interface that translates the content requirements of the tools into concrete code, which can be quite a challenge. I learn something new every day and can contribute to a wide variety of projects and products. In addition, the work is not as "antisocial" as clichés like to convey. Pair programming in particular, when you try to solve a task together, is a very special form of collaboration for me. In this way, we can support each other well in what are often very complex challenges. And whether alone or in pairs, nothing feels better than a fixed bug and code that finally runs.
In addition, there are just insanely great people working here who, despite my unusual background, have welcomed me openly and support me in my development. There's a pretty perfect mix of humor and respectful interaction.
Sophies team is looking for new colleagues. How about you?
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