Dein persönlicher KI-Karriere-Agent
Founding Data Scientist(m/w/x)
Building marketing measurement infrastructure and owning incrementality testing for user acquisition. Deep expertise in causal inference and experimental design required. Meaningful equity, transport subsidy, and catered meals.
Anforderungen
- Deep expertise in causal inference and experimental design
- Hands-on experience building and operationalizing attribution models
- Proven zero-to-one experience: ambiguous problem, built infrastructure, shipped production-ready
- Proficiency in Python and SQL
- Experience with programmatic advertising, ML pricing, or mobile measurement
- Strong ownership mindset; proactive problem-solving
- Rigorous and pragmatic approach to data analysis
- Automation of repetitive tasks
- Clear communication of model outputs to non-technical stakeholders
Aufgaben
- Work directly with leadership on measurement and growth problems
- Build data infrastructure to answer high-stakes questions
- Own incrementality testing across marketing, product, and rewards
- Prove value from hypothesis to business impact
- Build data pipelines and measurement stack
- Tie experiments to user behavior, monetization, and multi-touch attribution
- Drive experimentation strategy across growth and product
- Design, run, and interpret tests with causal validity
- Own data products from scoping to rollout
- Partner with C-level, engineering, and business stakeholders
- Turn measurement into operational decisions
- Set scalable frameworks and practices
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- GCP
- dbt
Benefits
Sonstige Vorteile
- Meaningful equity
Öffi Tickets
- Transport subsidy
Gratis oder Vergünstigte Mahlzeiten
- Breakfasts and lunches
Weiterbildungsangebote
- Language learning
Gesundheits- & Fitnessangebote
- Urban Sports Club
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Founding Data Scientist(m/w/x)
Building marketing measurement infrastructure and owning incrementality testing for user acquisition. Deep expertise in causal inference and experimental design required. Meaningful equity, transport subsidy, and catered meals.
Anforderungen
- Deep expertise in causal inference and experimental design
- Hands-on experience building and operationalizing attribution models
- Proven zero-to-one experience: ambiguous problem, built infrastructure, shipped production-ready
- Proficiency in Python and SQL
- Experience with programmatic advertising, ML pricing, or mobile measurement
- Strong ownership mindset; proactive problem-solving
- Rigorous and pragmatic approach to data analysis
- Automation of repetitive tasks
- Clear communication of model outputs to non-technical stakeholders
Aufgaben
- Work directly with leadership on measurement and growth problems
- Build data infrastructure to answer high-stakes questions
- Own incrementality testing across marketing, product, and rewards
- Prove value from hypothesis to business impact
- Build data pipelines and measurement stack
- Tie experiments to user behavior, monetization, and multi-touch attribution
- Drive experimentation strategy across growth and product
- Design, run, and interpret tests with causal validity
- Own data products from scoping to rollout
- Partner with C-level, engineering, and business stakeholders
- Turn measurement into operational decisions
- Set scalable frameworks and practices
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- GCP
- dbt
Benefits
Sonstige Vorteile
- Meaningful equity
Öffi Tickets
- Transport subsidy
Gratis oder Vergünstigte Mahlzeiten
- Breakfasts and lunches
Weiterbildungsangebote
- Language learning
Gesundheits- & Fitnessangebote
- Urban Sports Club
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Almedia
Branche
Marketing
Beschreibung
The company is building the future of marketing by rewarding a community of over 50 million users for engaging with advertisers' products.
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