Working Student - Data Science (Research & Predictive Analytics)
Berlin, Germany · Hybrid
Entry level
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Skills: Data Science, Machine Learning, Predictive Analytics, Data Mining, Snowflake
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Skills: Media production, Video editing, Social media management, Content creation, Research
Working Student - Data Science (Research & Predictive Analytics)
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Internship
bachelor degree, postgraduate degree
Hands-on Experience With Real-world Machine Learning, Exposure To Modern Data Stack Technologies, Collaborative Team Environment, Flexible Working Conditions
Posted 45d ago
~40 hrs/week
Responsibilities
Monitor and improve research and machine learning models to ensure output quality aligns with industry benchmarks. Contribute to predictive analytics projects including box office forecasting and large-scale data mining initiatives.
Requirements
Currently enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, or a related field. Requires a pragmatic mindset for handling messy datasets and initial experience with Snowflake, dbt, or Airflow.
Full job description
Who we are
JustWatch delivers data-driven digital marketing for the global entertainment business. From the biggest blockbusters to award-winning shows, major sporting events, and best-selling console games. We are not only entertainment obsessives, but we also own the world's largest streaming guide, which gives us unparalleled data and insights on audience behaviors and content tastes.
From a small startup, we've evolved into a 200+ strong team, based in Berlin, around the world, or working remotely. We've been all about building a profitable business while riding that wave of impressive growth.
Who we need
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.
\nWhat 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
Constant learning, delivering results and creating value are the core characteristics of everyone at JustWatch and we are looking for these values in every person we are hiring.
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
\n
Media is important to us, and we are always happy to hear from people who enjoy film! If you feel like you are missing some of the hard skills, don’t worry, we are hiring for the attitude, values, and personality.
If we caught your attention and you're eager to delve into our perspectives and thought processes, we recommend immersing yourself in our blog post, which elaborates on these subjects:
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.
We are JustWatch. The only media company built for modern-day entertainment.
JustWatch Media helps entertainment brands around the world get to grips with new challenges and opportunities. From blockbuster movies, award winning shows, major sporting events and console games, we buy media for our clients across the major digital platforms.
Our media buying capabilities are powered by JustWatch The Streaming Guide. Live and localized in over 130 markets, it is the biggest streaming guide in the world, billions of data points from over 200,000 movies & shows and tens of millions of users, which means we understand audiences and content better.
We have offices in Berlin, Munich, Paris, Rome, London and New York and we’d love to hear from you.
Our mission is to connect entertainment fans with their favorite content worldwide.
Offices: Saarbrücker Straße 38, Berlin, 10405, DE · New York, US · Paris, FR · London, GB · Munich, DE
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