Senior Data Scientist - Search Engine (all genders)

• Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques
• Deploy your solutions into production, taking full ownership and ensuring high performance and scalability
• Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment
• Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions
• Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference

• 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
• Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models
• Proven experience in building and deploying machine learning solutions that deliver tangible business value
• Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars)
• Experience designing, building, and managing data pipelines
• Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker)
• Solid understanding of statistical methods for model evaluation
• Big Data: Experience analyzing large datasets using statistical and machine learning techniques
• DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus
• Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI) 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

Nice to have

• Experience with BigQuery Knowledge of time series and (graph) neural network models
• Familiarity with statistical testing and Gaussian Processes
• Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch)
• Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g. MLFlow, Kubeflow)
• Experience with deep learning libraries (e.g., TensorFlow, PyTorch)
• Experience building interactive dashboards (e.g. using Streamlit, Voila, Gradio)
• Experience with GCP or AWS, including infrastructure-as-code and CI/CD pipelines
• Practical knowledge of Docker