Senior Data Scientist - Search

Your role in the team

Our expectations of you

Qualifications

• Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models.
• Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars).
• Vertrautheit mit cloud-basierten Plattformen für Model-Training und -Deployment (z. B. GCP Vertex AI, Amazon SageMaker).
• Solides Verständnis statistischer Methoden zur Modellbewertung.
• DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus.
• Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus.
• Excellent written and verbal communication skills in English.
• Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders.
• Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models.
• A proactive approach to knowledge sharing and fostering a quick development environment.

Experience

• Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++).
• Strong SQL skills with experience in analytical or transactional database environments.
• Proven experience in building and deploying machine learning solutions that deliver tangible business value.
• Experience designing, building, and managing data pipelines.
• Big Data: Experience analyzing large datasets using statistical and machine learning techniques.
• Generative AI: Erfahrung mit generativer KI und agentischen Frameworks (z. B. LangChain, ADK, CrewAI, Pydantic AI) ist von Vorteil.

What we offer