Data Scientist

Your Role

As our Marketing Engineer, you sit at the intersection of data science and paid media. You'll consolidate scattered customer signals into a single source of truth, build ML models that score leads by their real value, and feed those insights back into our ad platforms - making our marketing smarter than the platforms' out-of-the-box optimization. It's a hands-on, build-from-scratch role with full ownership over both the models and the impact they create.

What to expect

Build our predictive CLTV modelling from the ground up: consolidate customer signals into a database, develop ML models on user behavior to score leads

Feed those scores back into the ad platforms (Meta, Google, and more) to sharpen targeting and bidding

Own tracking and conversion infrastructure: Tag Manager, Search Console, offline uploads, server-side setups

Turn raw behavioral data into measurable performance impact

Work closely with the Performance Marketing team and Go-to-Market managers

Who We're Looking For

You're comfortable building data pipelines and ML models - Python, SQL, and modern ML tooling are second nature

You understand paid media well enough to know what signals matter and how platforms consume them

Experience with attribution, conversion APIs, or offline conversion uploads is a strong plus

Hardworking, analytical, structured, and a natural fit for a direct, ambitious culture

Strong English skills, as English is our company language

German skills are a big plus

What We Offer

Competitive Salary: €65.000-€130.000

Equity - you build it, you should own a piece of it.

Food & drinks - at our Vienna office, lunch and dinner are on us (plus all the drinks your heart desires, and yes, we have protein bars and vitamins too).

Relocation bonus (if you still need to move to Vienna)

Equipment of your choice - whatever makes you happy.

Regular team offsites.

Hiring Process

15 min intro call

30 min skill interview

15 min Culture fit with the founders

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