AI Summary
Bridge the gap between data science and paid media by building predictive models and conversion infrastructure. Develop CLTV and lead scoring models to optimize targeting and bidding strategies across ad platforms. Requires 3+ years of experience in production ML pipelines, Python, SQL, and conversion tracking.
Key Highlights
Build predictive CLTV and lead scoring models to identify high-value prospects
Integrate data insights directly into Meta and Google Ads for optimized bidding
Own the end-to-end conversion tracking and server-side infrastructure
Key Responsibilities
Build predictive customer lifetime value models and consolidate customer signals into a unified database.
Develop ML models on user behavior to score leads and identify high-value prospects.
Feed lead scores back into ad platforms like Meta and Google to sharpen targeting and bidding strategies.
Own tracking and conversion infrastructure, including Tag Manager, Search Console, offline uploads, and server-side setups.
Turn raw behavioral data into measurable performance impact in collaboration with Performance Marketing and GTM teams.
Technical Skills Required
Benefits & Perks
Salary range: 65,000 to 130,000 EUR annually
Visa sponsorship
Nice to Have
German language skills
Experience with attribution modeling
Experience with offline conversion uploads
Experience in fast-growing B2B SaaS environments
Job Description
About The Role
This hands-on role sits at the intersection of data science and paid media, turning scattered customer signals into a single source of truth. You will build predictive models, own conversion infrastructure, and feed those insights directly into ad platforms, creating measurable marketing impact from the ground up.
What You'll Do
- Build predictive customer lifetime value models, consolidating customer signals into a unified database.
- Develop ML models on user behavior to score leads and identify high-value prospects.
- Feed lead scores back into ad platforms (Meta, Google, and others) to sharpen targeting and bidding strategies.
- Own tracking and conversion infrastructure, including Tag Manager, Search Console, offline uploads, and server-side setups.
- Turn raw behavioral data into measurable performance impact, working closely with Performance Marketing and Go-to-Market teams.
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- 3+ years building data pipelines, ML models, or analytics systems in production environments.
- Strong proficiency in Python and SQL for data engineering and model development.
- Hands-on experience with paid media platforms (Meta, Google Ads) and a solid understanding of how conversion signals feed into platform optimization.
- Experience building and deploying predictive models (CLTV, lead scoring, or similar) that directly drive business outcomes.
- Experience with conversion tracking infrastructure including Tag Manager, conversion APIs, and server-side tracking implementations.
- Proven ability to consolidate data from multiple sources into unified data models or data warehouses.
- Familiarity with modern ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar.
- Fluent English; German language skills are a plus.
- Experience with attribution modeling, offline conversion uploads, or fast-growing B2B SaaS environments is a bonus.
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Salary range: 65,000 to 130,000 EUR annually, depending on experience. Visa sponsorship is available.
Location
On-site in Vienna, Austria.
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