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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.
What you will be doing
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
What we need from you
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
What we offer you
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
You'll no longer be considered for this role and your application will be removed from the employer's inbox.