Compensation

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EUR 38,400 - EUR 54,700 yearly
LI-Hybrid

Job Description
Mission: Develop Marketing Science solutions in the area of Media Effectiveness. Support product development during concept testing, scaling and production.

Responsibilities

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- Develop, implement and standardize Marketing Science solutions in proofs‑of‑concept and prototypes.
- Continuously improve the efficiency of our Marketing Science products (e.g., ensure quality by adherence to coding guidelines, documentation, and reproducibility).
- Optimize our Marketing Science models using code optimization, high‑performance computing and real‑time techniques.
- Build analytical pipelines at scale using cloud services, containerized applications and distributed systems.
- Identify best practices and create continuous improvement of tools and methods.
- Collaborate closely with Product Owners, Modelers, Marketing Scientists and Front‑End Engineers.

Qualifications

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- Bachelor or Master degree that reflects strong statistical/mathematical/computer science skills.
- Strong expertise in Python – at least 3 years of development.
- Understanding of R.
- Experience in (predictive) statistical modeling and causal inference.
- Ability to manage code deployments (experience with GIT).
- Basic understanding of Dockerization – building and managing docker images.
- Experience with creating, managing and/or maintaining code documentation.
- Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service).
- Experience with Cloud services such as Azure or AWS.
- Ability to present and explain complex concepts to less experienced colleagues.
- Familiarity of Kubernetes and Airflow is plus.
- Strong analytical and problem‑solving skills.
- Ability to work independently.
- Pronounced attention to detail – ensure

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