Data Scientist - Hybrid AI for Agri-Tech Growth

KH01 Kramp Groep B.V.

Utrecht

Hybrid

EUR 56,000 - 71,000

Full time

10 days ago
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Benefits offered by this job

Hybrid work policy
Travel and home office allowance
Profit sharing bonus
Training budget
Pension plan
25 vacation days + 12 ADV days

Job summary

KH01 Kramp Groep B.V. in the Netherlands seeks a data scientist to build data products and scalable pipelines using Cloud Build, Docker, and Kubeflow. You will translate business problems into data science solutions and work across ecommerce and supply chain domains.

The role combines on-site work in Utrecht or Varsseveld with flexible remote days, offering a competitive monthly salary and benefits such as vacation days, travel allowance, and a strong training budget.

Qualifications

  • Master's degree in Data Science or related field.
  • 5+ years experience in data science preferred.
  • Strong SQL and Python (OOP) skills.
  • Experience with CI/CD environments & Git.
  • Experience with Google Cloud, LightGBM, Kubeflow is beneficial.
  • Excellent communication skills in English.

Responsibilities

  • Build data products using Cloud Build and Docker.
  • Develop pipelines utilizing thousands of CPUs with Kubeflow.
  • Develop endpoints using GPUs to improve domain.
  • Specialize in Recommenders, Search, Content, or Operations and Supply Chain.
  • Translate business problems into data science solutions.
  • Work at least 3 days per week on-site in Utrecht or Varsseveld, with remaining days remote.

Skills

SQL
Python
CI/CD
Git
English communication

Education

Master's degree in Data Science or related field

Tools

Docker
Cloud Build
Kubeflow
Google Cloud
LightGBM

Job description

KH01 Kramp Groep B.V. in the Netherlands seeks a data scientist to build data products and scalable pipelines using Cloud Build, Docker, and Kubeflow. You will translate business problems into data science solutions and work across ecommerce and supply chain domains.

The role combines on-site work in Utrecht or Varsseveld with flexible remote days, offering a competitive monthly salary and benefits such as vacation days, travel allowance, and a strong training budget.

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