Job
In this role, you analyze complex datasets, develop practical models, and clearly communicate findings to stakeholders to address their challenges with data-driven solutions.
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Job technologies
Your role in the team
- We are looking for a Senior Data Scientist who is strong on the fundamentals - properly strong, the kind that survives questioning.
- Our data is mostly tabular, sometimes text, occasionally time series or signal, now and then images.
- Whatever the modality, it tends to arrive messy, incomplete, biased in ways nobody warned you about, and smaller than you would like.
- The algorithm is rarely the hard part.
- The hard part is understanding the data well enough to know which question is even answerable, and being willing to say so when it isn't.
- You would own projects end to end - framing the problem with the customer, doing the analysis properly, and standing in front of stakeholders to explain what you found and how much weight it can carry.
- When something is wrong for a customer, we feel it, and it doesn't let go until it is fixed.
- Ihr Problem wird zu unserem Problem.
- We don't reach for the contract or the scope to explain why something isn't ours to solve.
- We want the customer to actually succeed.
- We are looking for someone wired the same way.
Our expectations of you
Qualifications
- Real projects, real constraints, real stakeholders.
- Statistical depth you can defend under questioning, without reaching for a hand-wave.
- You understand uncertainty and how to quantify it.
- You know what a confidence interval does and does not tell you, and what a p-value actually is - and, more revealingly, what it is not.
- You can feel the difference between a correlation that means something and one that is an artefact.
- You know what a hypothesis test assumes, and what quietly breaks when those assumptions don't hold.
- A meticulous, close to pedantic relationship with your own results.
- A number that looks too good makes you suspicious rather than pleased.
- You verify before you believe, and you verify most thoroughly when the work is your own.
- The reflex to interrogate data before modelling it - to plot it, ask how it was collected, and notice what is missing or wrong before drawing a single conclusion.
- Solid Python and the usual ecosystem (scikit-learn, PyTorch or TensorFlow as the problem needs).
- Comfortable on cloud, AWS in our case.
- The ability to carry a room - explaining technical reality to business stakeholders in a way that lands, and caring whether the customer succeeds rather than whether the ticket is closed.
- Fluent English
Experience
- Several years of industrial ML and data science experience.
What we offer
- Work from our offices in Munich or Darmstadt with remote work options.
- Direkter Einfluss auf das Wachstum und die Ausrichtung des Unternehmens.
- Unrestricted access to the latest AI tools and technologies: we encourage experimentation and staying at the cutting edge.
- Budget für berufliche Weiterentwicklung und Konferenzteilnahmen.
Topics you will work on
Job locations
About your employer
Spryfox GmbH, a technology and consulting company based in Darmstadt, Germany, assists businesses in implementing practical AI applications. They offer a wide range of services, including data strategies, machine learning, and predictive analytics. Since its founding in 2020, Spryfox has positioned itself as an innovative startup in the field of artificial intelligence.
- Startup
- Onsite, Hybrid
- Internet, IT, Telecommunication
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