Data Scientist
Muss:PythonAI
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