An agricultural data scale-upHiring

Senior/Principal Data Scientist

  • Remote, Germany
  • Full-time
  • Lead
  • Posted 6 days ago
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In one line

Data science role on real-time soil data products, modelling soil nutrients with machine learning; hybrid or fully remote in Germany with a monthly team day.

About the role

The team turns sensor and lab data into agronomic advice for farmers. The post is a Series B stage, and this person owns soil nutrient modelling as one core product pillar while helping set the data science roadmap.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, Germany
Seniority
Lead
Employment
Full-time
Skills
Python, Scikit, Pytorch, MLflow, DVC, Machine learning, ML-Ops
Posted
29 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Own soil nutrient modelling and scale it to more regions worldwide
  • Plan, run and deliver data science projects
  • Help shape data science strategy, vision and roadmap
  • Work with spectral sensor data, chemical lab results and spatial fertilisation maps

What they look for

  • At least 5 years of hands-on work on data science products
  • Advanced degree in engineering or science
  • Strong grasp of statistics and core machine learning concepts
  • Python with scikit and pytorch, plus ML-Ops tooling like MLflow and DVC
  • Experience across the model lifecycle, from success metrics to deployment and monitoring
  • High-dimensional sensor or signal data processing

Nice to have

  • Agronomy or agriculture knowledge, sensor and IoT data, or field trial experience

Benefits

  • Annual learning budget for courses, conferences, books and certifications

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Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Senior/Principal Data Scientist as a remote role for candidates in Germany.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a lead role. The posting asks for: at least 5 years of hands-on work on data science products; advanced degree in engineering or science; strong grasp of statistics and core machine learning concepts. Skills it names include Python, Scikit, Pytorch, MLflow.

How do I apply with Keywordise AI?

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An agricultural data scale-upRemote, Germany
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