Want to know if this job is worth applying to?
Berlin, Deutschland
Hybrid
We are a research-driven team focused on delivering high-quality survey insights powered by machine learning models. To support our Lead Data Scientist, we are looking for a motivated and curious Working Student in Data Science who enjoys solving real-world problems, working with imperfect data, and continuously challenging themselves.
In this role, you will help monitor and improve our research models, ensure output quality aligns with benchmarks and industry trends, and contribute to exciting analytical projects such as box office prediction, audience analytics, and large-scale data mining initiatives.
This is an excellent opportunity for a student who wants hands-on experience in applied data science within a fast-paced and collaborative environment.
Monitor day-to-day performance and output quality of research and machine learning models
Validate survey results against internal benchmarks and industry trends
Identify anomalies, inconsistencies, and opportunities for model improvement
Support data mining and exploratory analysis projects
Contribute to predictive analytics initiatives, including box office forecasting
Work closely with the Lead Data Scientist on operational and strategic data tasks
Help maintain and improve data workflows and pipelines
Collaborate with cross-functional teams to ensure reliable and actionable insights
Currently enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field in Berlin. If you are not a student in Berlin, your application will be rejected immediately.
A result-driven, pragmatic mindset and the ability to work with imperfect or messy datasets
Hands-on mentality with a delivery- and service-oriented attitude
Strong analytical thinking and curiosity to challenge assumptions and improve processes
First experience with Snowflake, dbt, and/or Airflow
Passion for movies and TV shows
Good English communication skills
Hands-on experience with real-world machine learning and research applications
Exposure to modern data stack technologies and scalable data workflows
Opportunity to contribute to impactful predictive analytics projects
A collaborative team environment with room to learn and grow
Flexible working conditions tailored to student schedules
How to apply
Just hit the apply button and leave us your CV, some basic info, and a short introduction that helps us get to know you. Tell us what motivates you, why you want to work at JustWatch, and how you think you can help us achieve our goals.
Please only apply if you are genuinely interested. Copy-paste mass applications will receive a copy-paste rejection email. The same goes for applications that rely heavily on AI-generated content. We want to get to know you as a person first, not your prompts.
If you have any questions, please reach out to our Talent Team via LinkedIn or apply directly through our jobs page.
Research shows women apply when meeting 100% qualifications, men at 60%. JustWatch welcomes all candidates, especially women and marginalized groups. Apply, let's talk and explore if you're a great fit.