Plaats

Zwolle
Nederland
Nederland

Contract

Vooltijds, Onbepaalde duur

Datum gepubliceerd

2026-10-02

Online tot

2026-12-01
EUR 15.00 HOUR

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Data Scientist/ML Engineer

RTL
Nederland Zwolle
3 uur geleden

Want to build data products that directly impact millions of viewers daily? From selecting Videoland thumbnails to optimizing search and forecasting churn, our Data Science team solves diverse, high-impact challenges. We’re looking for a Netherlands-based Data Scientist with 3+ years of experience in Python, modern MLOps (Databricks, Kubernetes), and end-to-end project ownership. Join our team of 7 and turn big ideas into production models! Your profilebr/br/You have a background in data science, AI, statistics, or a related fieldbr/br/You have at least 3 years of experience building data science or machine learning solutionsbr/br/You are comfortable working in Pythonbr/br/You have experience with modern data/ML tooling (e.g. Docker, Databricks, MLflow, or similar MLOps platforms)br/br/You are interested in media, video, or multimodal content (text, images, video)br/br/You are curious and enjoy exploring new ideasbr/br/You enjoy working with others, but are also comfortable working independentlybr/br/You like taking ownership and driving your own projectsbr/br/You like working directly with stakeholders and understanding their needsbr/br/You enjoy helping others and contributing to a positive team culturebr/br/You are comfortable speaking up, sharing your ideas, and staying open to input from othersbr/br/You are based in the Netherlands and allowed to work herebr/br/Your tasksbr/br/Work on a wide range of problems across the company (e.g. subtitles, forecasting, marketing mix, thumbnails, churn)br/br/Identify and prioritize opportunities for data science, shape them into projects, and drive them forward with stakeholdersbr/br/Work with stakeholders to understand problems and turn them into data science solutionsbr/br/Analyze data, build models, create prototypes, experiment with new approachesbr/br/Put models into production and keep them running over timebr/br/Take ownership of projects from idea to real impactbr/br/Work closely with teammates (typically in pairs), support interns, and collaborate with researchersbr/br/Bring energy to the team and those around us: share ideas, help others, and contribute to a positive team environmentbr/br/Your teambr/br/We are a team of 7 data scientists and a data science manager, looking for one more colleague. We build data products that have a direct impact on our consumers, advertisers, and employees. We work on a wide range of problems. One day, you might build a model to select the most appealing thumbnail for Videoland. Another day, you might help decide what movie to show on RTL 7. The next, you might be fixing a production issue in our search system. No day is the same. The Data Science team is part of the Data Unit, where we work closely with data engineers, analysts, and other specialists. Our tech stack is centered around Python (Pandas, PyTorch, Transformers) and Azure. We work with tools like PySpark, Airflow, MLflow, and Databricks, and deploy our solutions using Docker and Kubernetes. Most of our data comes from Snowflake and Azure Event Hub. The interview processbr/br/Our interview process is designed to give you a good sense of the team, the work, and how we collaborate. It also helps us understand how you think and approach problems. This is what a typical process looks like (we may adapt it along the way if needed): Intro call (1h): get to know each other and learn more about the team Experience interview (1h): discuss your past work and how you approach problems Technical exercise (1h): work on a real data science problem and walk us through your thinking We’re mainly interested in how you think, communicate, and collaborate — not in perfect answers. You should also use these conversations to decide if this is a team you’d enjoy working in.br/br/#J-18808-Ljbffr

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Data Scientist/ML Engineer

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Data Scientist/ML Engineer

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