Data Scientist
Role details
Job location
Tech stack
Job description
Vacature: RTL Nederland in Hilversum zoekt een Data Scientist | Fulltime | Sluitingsdatum: onbekend. Your Tasks
- You find opportunities where data science can directly impact our consumers, advertisers, or employees.
- You build data products at the crossroads of data science, machine learning engineering, and AI.
- You talk to other teams and dig into data to understand a problem. Then deliver a solution, often with machine learning, iterating as needed.
- You plan, develop, train, document, deploy, and manage production machine learning models.
- You help others at RTL and beyond understand how we use data science and AI in production and at scale.
- You mentor, develop, and inspire your colleagues in the team with technical expertise and keep an eye out for improvement opportunities for the long term., Our data science tech stack is focused on Python (with libraries Pandas, TensorFlow, PyTorch) and we are mostly on Azure. We also use PySpark. We track our code with git, package our work in Docker, deploy using Argo CD, schedule with Airflow, and track experiments with MLflow on Databricks. For video processing, we leverage Argo Workflows on Kubernetes. Most of our data comes from Snowflake or Kafka. Elasticsearch powers our search and much more.
Requirements
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A master's degree in AI, data science, statistics, or a related field.
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A curious, proactive and entrepreneurial mindset.
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The ability to work independently, as well as collaboratively.
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The ability to build good and productive working relationships with colleagues and stakeholders.
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Strong language skills in English and Python.
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Located in the Netherlands and eligible for work in the Netherlands.
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You have at least 2 years of work experience. Additionally, we would love it if you have experience:
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building data science products in industry.
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being part of a team developing and managing production models.
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mentoring other data scientists and improving data science teams.
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with Docker, Databricks, and MLflow, or other MLOps systems.
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in media or multimodal content.
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with (open-source) software development.