Data Scientist

Trust In SODA; Hamburg; Hybrid; EUR 80.000; Vollzeit

Zusammenfassung

A leading digital marketing company in Hamburg is seeking a Marketing Data Analyst/Data Scientist to optimize marketing performance. The ideal candidate has over 4 years of experience in marketing data analytics and proficiency in Python or R, and SQL. You'll work on Marketing Mix Models and incrementality testing to enhance media spend efficiency. This position requires a clear communicator who can provide actionable insights.

Qualifikationen

• 4 years + in Marketing Data analytics.
• Experience with Python or R, and SQL.
• Hands-on experience with MMM and attribution modelling.

Aufgaben

• Build and refine Marketing Mix Models across channels.
• Run incrementality tests and geo-experiments.
• Create dashboards for performance insights.

Kenntnisse

Marketing Data analytics

Python

R

SQL

Causal inference

Jobbeschreibung

We’ve partnered with a market-leading digital business behind some of Europe’s biggest lottery, charity raffles, and e-commerce gaming platforms — combining technology, marketing, and data to reach millions of users across Germany.

They’re now looking for a Marketing Data Analyst/Data Scientist to help elevate how they measure and optimise marketing performance. You’ll lead work on Marketing Mix Models, multi-touch attribution, and incrementality testing — helping ensure every euro of media spend is working as hard as it should.

Location: Hamburg (Germany-based, 1x/month in office)

Salary: €80k

What You’ll Do

• Build and refine MMM and attribution models across all major marketing channels
• Run incrementality tests, geo-experiments, and holdouts to measure true impact
• Turn data into actionable insights for smarter media planning and budget allocation
• Partner with vendors like Meta and Kantar on measurement and validation
• Create dashboards that help teams understand performance and make informed decisions

What We're Looking For

• 4 years + in Marketing Data analytics
• Must have experience with Python or R, and SQL
• Must have hands on and proven experience with MMM and attribution modelling
• Solid grasp of causal inference, experimentation, and regression techniques
• Clear communicator who can explain data to non-technical teams

Sound like your kind of challenge? Apply now!