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For almost three years, I’ve been working as a data scientist in Datamole, and no two days are quite the same. What makes this job so rewarding is the combination of real-world impact, cutting-edge technology, and the brilliant, supportive people I work with. Here’s a glimpse into a typical day.

Starting the day

One of the perks of the job is flexibility. I usually start work before 8 AM or around 8, depending on the day. The office is a welcoming space with breakfast, snacks, and coffee available to help you ease into the morning. My day typically kicks off with a block of deep work—whether it’s data analysis, conducting experiments, or tackling a software engineering task.

I save my first coffee of the day to enjoy during a sync-up with my project team. This could be a daily standup or an informal catch-up, usually lasting about 15–30 minutes. Then, it’s back to project work or a meeting with clients. Currently, I’m juggling two projects, so I attend all related meetings to stay in sync.

Midday collaboration and relaxation

Late mornings bring a department-wide standup just before lunch. It’s a chance to share progress and challenges with colleagues outside my immediate project teams. Afterward, we head to our favorite lunch spot, “Jídlovice,” to eat and unwind. The lunch break is a mix of good food, casual chats with teammates, and sometimes a quick game of foosball or Nintendo in the relax room. 

Afternoon: deep work and knowledge sharing

The afternoons are a balance of deep work, collaboration, and learning. Whether it’s diving back into data analysis or attending a team-building session like a laser tag game, the focus shifts based on the day’s priorities. On Thursdays, for instance, we hold a reading club to discuss exciting research or emerging trends, like the implications of Generative AI for data science. Monthly lightning talks are another highlight, where team members showcase new tools, libraries, or methodologies in 15-minute bursts.

Real-world projects

One of the most fulfilling aspects of this role is the variety of impactful projects. Some of the highlights include:

  • Improving dough height consistency during production: A unique mix of data science and manufacturing.
  • Building a chatbot for technical documentation: Helping technicians access and navigate large, complex datasets more easily.

Every project comes with its own challenges, but the results make it worthwhile.

What makes it special?

What stands out the most is the trust and flexibility at the heart of our team. When my child was born, I took three weeks of paternity leave (one week provided by the company) to spend time with my family. The culture here emphasizes accountability and independence—success comes from being able to rely on each other. Weekly review meetings with colleagues who aren't directly involved in my projects provide fresh perspectives that often improve the quality of my work.

Team spirit

Our team-building activities are another highlight. Whether it’s a trip to the Jizera Mountains, a cozy retreat in Krkonoše mountains, or our regular Monday bouldering sessions, there’s a shared spirit of camaraderie. These moments help strengthen bonds and make the workplace more enjoyable.

Proud achievements

One of the projects I’m most proud of was the successful deployment and integration of the electrical bus efficiency estimation solution. It required combined expertise and collaboration to navigate challenges and deliver a seamless process from ideation and modeling to deployment.

Author

Get to know the author of this blog post

Patrik Hudačko
data scientist

Patrik Hudacko is a data scientist specializing in machine learning, data analysis, and Python. In his free time, he enjoys climbing and mountain biking.

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