Hybrid Data Scientist — Cloud, Kubeflow & Data Products

Kramp; Utrecht; Hybrid; EUR 70,000 - 105,000; Full time

Benefits offered by this job

Vacation days 25

Work from home allowance

Profit sharing bonus

Training budget

Generous pension plan

Hybrid work policy

Job summary

Kramp Group is expanding its centralized Data Science team and dedicating you to a product/business unit in the Netherlands. The role focuses on building data products via Cloud Build, Docker, and scalable Kubeflow pipelines, with domain specialization in Recommenders, Search, Content, Operations, or Supply Chain.

You will translate business problems into data science solutions and collaborate across a growing European tech platform with hybrid on-site/off-site work options.

Qualifications

• Master's degree in Data Science or related field.
• Minimum 5 years experience in Data Science preferred; outstanding entry-level candidates encouraged.
• Strong SQL and Python (OOP) skills.
• Experience with CI/CD environments & Git.
• Experience with Google Cloud, LightGBM and Kubeflow is beneficial.
• Excellent English communication skills.

Responsibilities

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

Skills

SQL

Python (OOP)

CI/CD

Git

English

Education

Master's degree in Data Science or related field

Tools

Docker

Google Cloud

Kubeflow

LightGBM

Cloud Build

Job description

Kramp Group is expanding its centralized Data Science team and dedicating you to a product/business unit in the Netherlands. The role focuses on building data products via Cloud Build, Docker, and scalable Kubeflow pipelines, with domain specialization in Recommenders, Search, Content, Operations, or Supply Chain.

You will translate business problems into data science solutions and collaborate across a growing European tech platform with hybrid on-site/off-site work options.