Data Scientist (Entry Level) - Frankfurt am Main

The Role

We are looking for a Data Scientist at the start of their career: fresh from a Master's or PhD, with little or no industry experience. What we care about is whether your fundamentals are real and if you want to grow. Anyone can call .fit() and read off 94% accuracy. We are looking for someone whose first instinct is to ask what that number is hiding, even if they don't yet know what to look out for.

What the work looks like

Our data is mostly tabular, sometimes text, occasionally time series or signal, now and then images. It usually arrives messy, incomplete, biased in ways nobody mentioned, and smaller than you'd like. It won't look like the clean benchmark datasets from university. The algorithm is rarely the hard part. The hard part is understanding the data well enough to know which question it can actually answer.

You would work on customer projects alongside experienced colleagues. You would do real analysis on real problems from day one and take on more ownership as you grow. You'll learn how to frame a problem with a customer, how to defend a result, and how to explain it to people who don't care about the maths. One thing about how we work matters more than any of this. When something is wrong for a customer, we feel it, and we don't let go until it's fixed. Their problem becomes our problem. We're looking for someone wired the same way.

What we're looking for

• A degree in a quantitative field (statistics, mathematics, physics, computer science, engineering or similar). A PhD is welcome but not required.

• Statistical foundations that go deep. You understand what a confidence interval tells you and what it doesn't. You know what a p-value actually is, and what it isn't. You know that hypothesis tests rest on assumptions, and that things break when those assumptions fail.

• Healthy suspicion of your own results. A number that looks too good makes you want to check, not celebrate.

• The habit of looking at data before modelling it. You plot it, question it, and notice what's missing or odd.

• Solid Python and the usual ecosystem (pandas, scikit-learn; PyTorch or TensorFlow). Cloud experience is nice to have. We'll teach you AWS.

• The ability to explain what you did and why, clearly and honestly. That includes saying "I don't know yet."

• Curiosity, and the willingness to learn fast from feedback.

• Fluent English