Impactful Data Scientist & ML Engineer — Production

RTL

Hilversum

On-site

EUR 70,000 - 90,000

Full time

8 days ago
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Job summary

RTL seeks a Netherlands-based Data Scientist to own end-to-end data science projects. You will work on diverse challenges from subtitles to churn forecasting, collaborating with stakeholders and a team of seven data scientists. The tech stack centers on Python, Databricks, PyTorch, Transformers, and Azure, deploying via Docker and Kubernetes.

You will take ownership, translate business needs into data-driven solutions, and contribute to a positive data culture across RTL's Data Unit.

Qualifications

  • 3+ years of experience building data science or machine learning solutions.
  • Strong Python proficiency.
  • Experience with modern data/ML tooling (Docker, Databricks, MLflow, or similar MLOps).
  • Interest in media, video, or multimodal content (text, images, video).
  • Ability to work with stakeholders to understand needs.
  • Ability to work independently and take ownership of projects.
  • Based in the Netherlands and permitted to work there.

Responsibilities

  • Work on a range of problems across RTL, including subtitles, forecasting, marketing mix, churn.
  • Identify opportunities and drive projects with stakeholders.
  • Turn problems into data science solutions with end-to-end ownership.
  • Analyze data, build models, prototype, experiment with new approaches.
  • Put models into production and maintain them over time.
  • Collaborate with teammates and researchers; pair programming when applicable.

Skills

Independent worker
Ownership mindset
Stakeholder collaboration
Team player

Education

Degree in data science / AI / statistics

Tools

Python
Databricks
Kubernetes
MLflow
Docker
Azure
PySpark
Airflow
Snowflake

Job description

RTL seeks a Netherlands-based Data Scientist to own end-to-end data science projects. You will work on diverse challenges from subtitles to churn forecasting, collaborating with stakeholders and a team of seven data scientists. The tech stack centers on Python, Databricks, PyTorch, Transformers, and Azure, deploying via Docker and Kubernetes.

You will take ownership, translate business needs into data-driven solutions, and contribute to a positive data culture across RTL's Data Unit.

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