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Stellenbeschreibung
About Almedia
Almedia is an innovative company committed to accelerating careers by challenging norms. Positioned as Germany's aspiring second bootstrapped unicorn, it was ranked Europe's third fastest-growing company in 2025 by FT1000. With a community exceeding 70 million users, Almedia is revolutionizing marketing by rewarding users for engaging with advertiser products and creating novel user acquisition methods for global enterprises.
Role Overview
We seek versatile Data Scientists during a critical phase of our growth. Our ideal candidates come from diverse technical backgrounds, whether focusing on causal inference, experimental design, rigorous mathematical modeling, or pioneering original data solutions that find product-market fit from inception.
You will join a team that prioritizes AI-first development and values deep problem debugging, automation of repetitive tasks, high standards, and business-oriented outcomes where every model or dashboard must answer "so what?".
Key Responsibilities
- Develop machine learning models for real-time recommendation systems, ranking, and pricing algorithms optimizing engagement and conversion within our gaming platform.
- Create and fine-tune reward and user-incentive frameworks balancing motivation and sustainable return on ad spend through uplift modeling and pricing strategies.
- Lead and iterate complex experimentation in product verticals or user acquisition focusing on causal impact assessments and measurement techniques like marketing mix modeling and multi-touch attribution.
- Drive zero-to-one project initiatives, converting undefined ideas into fully deployed data products from foundational data structures to production.
- Collaborate closely with engineering teams to advance system architecture, enhance our technology stack, and set exemplary documentation standards.
Qualifications and Skills
- Proven track record deploying machine learning solutions in product environments, preferably within gaming, ad tech, gambling, or incentive-based systems.
- Extensive background in data engineering workflows utilizing modern tools such as DBT, Airflow, Kubernetes, and Terraform.
- Advanced proficiency in Python and SQL, along with experience working on cloud platforms, ideally Google Cloud Platform.
- Strong leadership and communication capabilities, adept at structuring clarity and aligning stakeholders toward common objectives.
Equal Opportunity
Almedia values talent cultivation at all levels, guarantees an inclusive hiring process, and offers clear career development pathways. We proudly support diversity and encourage applicants from all backgrounds to apply.