Senior ML Data Scientist - Build Production-Ready Models

Catawiki

Lisboa

Presencial

EUR 70 000 - 95 000

Tempo integral

14 dias+

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Resumo da oferta

Catawiki is seeking a Senior Machine Learning Data Scientist to join the Data Team. You will deliver scalable data products, build production models, and partner with product and engineering to implement ML solutions. The role emphasizes practical ML deployment, real-time predictions, and close collaboration across disciplines.

You will work on large-scale data, explore opportunities, and drive value through robust data-driven insights and models that enhance user experience and platform safety.

Qualificações

  • 5+ years of data science experience with ML in production.
  • Strong Python and SQL skills for data manipulation and modeling.
  • Experience deploying models at scale and delivering real-time predictions.
  • Solid background in statistics and quantitative analysis.

Responsabilidades

  • Build production-ready ML models and data products for the platform.
  • Explore data to identify opportunities and deliver actionable insights.
  • Collaborate with product, dev, UX, and analysts to scope value.
  • Deploy scalable models on cloud infrastructure using Kubernetes.
  • Deliver real-time, asynchronous, and batch predictions.

Conhecimentos

Python
SQL
Machine Learning
Statistics
Data Products
Deployment
Real-time inference

Ferramentas

PyTorch/TensorFlow
Docker
Kubernetes
Google BigQuery
MySQL
Spark
Airflow
Kafka
nginx
CI/CD

Descrição da oferta de emprego

Catawiki is seeking a Senior Machine Learning Data Scientist to join the Data Team. You will deliver scalable data products, build production models, and partner with product and engineering to implement ML solutions. The role emphasizes practical ML deployment, real-time predictions, and close collaboration across disciplines.

You will work on large-scale data, explore opportunities, and drive value through robust data-driven insights and models that enhance user experience and platform safety.

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