Data Scientist

Instaffo; Hamburg; Vor Ort; EUR 45.000 - 60.000; Vollzeit

Zusammenfassung

A leading adtech development unit in Hamburg is seeking a Junior Data Scientist to work with large datasets and innovate on ML models. You will explore real-world data, build data products, and collaborate with domain experts. Ideal candidates have 3+ years of experience, strong Python and SQL skills, and fluency in German and English. Join a dynamic team committed to pioneering ad technology.

Leistungen

Innovative work environment

Flexible working hours

Team collaboration

Qualifikationen

• 3+ years of hands-on experience in Data Science.
• Fluent in German and English.
• Comfortable with large-scale datasets.

Aufgaben

• Explore real-world data and build data products.
• Work in a team on complex problems.
• Utilize various tools effectively.

Kenntnisse

Data Science

Python

SQL

Mathematical intuition

Linux

Docker

Tools

Pandas

Scikit-learn

Apache Spark

Kubernetes

Jobbeschreibung

Data Scientist at smartclip Europe GmbH

Requirements

Location: Only for applicants from Germany

Language: German - Fluent, English - Fluent

Your Toolbelt

• 3+ years of hands-on experience in Data Science
• You’re comfortable working with large-scale, messy datasets – even the kind that don’t fit into memory
• For you state-of-the-art-methods are not just the methods everybody use. You are not afraid to search for answers in scientific literature.
• Strong mathematical intuition – you don’t just apply models; you want to understand why they work
• You follow best practices by default, and know when it’s time to question them
  
  

Your Tools

• Python – comfy with pandas, scikit-learn & friends
• Data Science basics – from feature engineering to model validation
• SQL – joins, aggregations, subqueries? No problem
• Docker & Linux – smooth setup and deployment
• AI/ML – real models, not just slide decks
• Git – because version control is second nature
  
  

Bonus Skills (nice to have):

Apache Spark / Kubernetes / Prefect, Airflow or similar / Torch, VLLM, or LLM-related tooling / pydantic.ai or similar / Shell scripting

Activities

Is your idea of fun wrangling messy data, debugging ML pipelines, and running experiments that actually tell you something? Do you know that correlation ≠ causation, and that pandas aren't just cute animals? If your heart beats faster for code, queries, and questions, keep reading. At smartclip, we’re on the hunt for a Junior Data Scientist who’s less into dashboards for the sake of dashboards, and more into uncovering what really matters behind the metrics.

• Explore terabytes of real-world data, not toy datasets
• Work on questions that don’t have answers on StackOverflow (yet)
• Build and improve data products and ML models with a team of domain experts
• Have the freedom to use the right tool for the right job, not just the fashionable one
  
  

Team

We believe in flat hierarchies and fast decision-making processes.

About The Company

smartclip is the adtech development unit of RTL Group — Europe’s leading free-to-air broadcaster group. Our proprietary advertising technology is custom-built for the needs of European broadcasters and publishers — enabling media owners to implement smarter monetisation strategies. We are committed to delivering the most innovative ad experiences spanning in-stream, out-stream, addressable TV, connected TV, audio, and gaming — ultimately empowering brands with true cross-screen storytelling opportunities on all devices.

Headquartered in Hamburg, smartclip has offices in Berlin, Munich, Düsseldorf, Cologne, Gütersloh, Amsterdam, and Paris.

For more information: Please visit www.smartclip.tv and follow us on LinkedIn.

Does this sound interesting to you?

Then we should get to know each other! Please send us your application including CV, earliest possible start date, and salary expectations via the online form.

We look forward to hearing from you!

For more information on smartclip: www.smartclip.tv

Click on "Apply" for details on the benefits, the team and the application process.