Join to apply for the Junior Data Scientist Engineer role at RTL Nederland

Overview

Join the team as a Junior Data Scientist Engineer. You will work on production models and data products at RTL Nederland, collaborating with data scientists, data engineers, analysts, product teams, and platform teams to solve real-world problems in media and multimodal content.

Responsibilities

• Join ongoing or new projects, build relationships with stakeholders, and identify opportunities where data science can make an impact.
• Work with colleagues to understand problems, analyze data, and prototype machine learning approaches with support from more experienced team members.
• Contribute to the full lifecycle of production models: ideation, design, training, deployment, monitoring, and documentation.
• Help design and build data products at the crossroads of data science, engineering, and AI.
• Collaborate closely with product teams, analysts, data engineers, and platform teams.
• Share learnings and contribute to knowledge-sharing sessions within the team.

Your team

We are a team of 7 data scientists and a data science manager looking to add one more colleague. We build data products that directly impact consumers, advertisers, or employees, with a focus on human-in-the-loop solutions that empower creative people. Our work includes forecasting models, personalization, and supporting marketing with a marketing mix model. RTL Nederland offers diverse challenges where no day is the same, from selecting thumbnails for Videoland to guiding content choices on RTL 7 and resolving production issues for search on rtl.nl.

The Data Science team is part of the Data Unit, which includes data engineers and data analysts, and is within the Tech Department.

Tech stack

We primarily use Python (Pandas, PyTorch, Transformers), Azure, and PySpark. Our workflow uses Git for version control, Docker for packaging, Argo CD for deployment, Airflow for scheduling, and MLflow on Databricks for experiment tracking. For video processing, we leverage Argo Workflows on Kubernetes. Data sources include Snowflake and Azure Event Hub, with MongoDB for search indexing.

Qualifications

• You hold a master’s degree in AI, data science, statistics, or a related field, and have at least 1 year of industry experience building data science products.
• You are fluent in English and Python, and you’re willing to deepen your skills with tools such as Docker, Databricks, MLflow, or other MLOps systems.
• You are eager to work on production models and have a strong interest in media or multimodal content (text, images, video) as well as open-source development practices.
• You bring a curious, proactive, and entrepreneurial mindset. You can work independently, but also enjoy collaborating and building productive relationships with colleagues and stakeholders.
• You are located in the Netherlands and eligible to work here.
• Even if your past experience doesn’t align perfectly with all of the above, you’re a brave soul who feels this could be the right challenge for you and you apply all the same.

Employment details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Information Technology
• Industry: Broadcast Media Production and Distribution