Senior ML Data Scientist — Production Models, Remote

Catawiki

Netherlands

Hybrid

EUR 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Stock Options
Hybrid work model
Relocation package
Pension plan
Paid holidays

Job summary

Catawiki is seeking a Senior Machine Learning Data Scientist to join the Data Team in Amsterdam. You will build scalable ML models, work with product and development teams, and apply advanced statistics to drive business value.

You’ll deploy models on cloud infrastructure with Kubernetes, collaborate across disciplines, and leverage tools like PyTorch/TensorFlow, Docker, and BigQuery to power data-driven decisions. This is a hybrid role with relocation options.

Qualifications

  • 5+ years of experience as a data scientist or ML engineer.
  • Strong Python and SQL programming skills.
  • Experience building and deploying ML models at scale.
  • Solid statistical and machine learning foundations.
  • Ability to work with cross-functional teams and stakeholders.

Responsibilities

  • Build production-ready ML models and data products within the product offering.
  • Explore large mobile/web datasets to identify ML opportunities and solve real business problems.
  • Deploy scalable models using cloud infrastructure and Kubernetes, enabling real-time and batch predictions.
  • Collaborate with product owners, developers, UX designers, and analysts to identify improvements and new use cases.
  • Translate business requirements into robust data-driven solutions and insights.

Skills

Python
SQL
Machine Learning
Data Analysis
Statistics
Big Data

Tools

PyTorch/TensorFlow
Docker
Kubernetes
Google BigQuery
MySQL
Spark
Airflow
Kafka
NGINX

Job description

Catawiki is seeking a Senior Machine Learning Data Scientist to join the Data Team in Amsterdam. You will build scalable ML models, work with product and development teams, and apply advanced statistics to drive business value.

You’ll deploy models on cloud infrastructure with Kubernetes, collaborate across disciplines, and leverage tools like PyTorch/TensorFlow, Docker, and BigQuery to power data-driven decisions. This is a hybrid role with relocation options.

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