Senior Data Scientist - Search Engine (all genders)
Core
Design and develop innovative machine learning algorithms to power personalized shopping experiences, focusing on retrieval and reranking systems for e-commerce.
Role type
Senior IC machine learning engineer (search & recommendation)
Builds
Personalized shopping experiences, retrieval and reranking systems
Domain
E-commerce, retail, fashion
Deliverable
production ML models
Required skills
Python, SQL, machine learning principles, data structures and algorithms, statistical methods, data pipeline design, cloud model training and serving
Preferred skills
Generative AI and agentic frameworks, time series and graph neural networks, deep learning libraries, MLOps frameworks, infrastructure-as-code, Docker
Technologies
pandas, numpy, dask, arrow, polars, GCP Vertex AI, Amazon SageMaker, GitLab CI/CD, Hashicorp Terraform, LangChain, ADK, CrewAI, Pydantic AI, TensorFlow, PyTorch, MLFlow, Kubeflow, Streamlit, Voila, Gradio, BigQuery, OpenCV
Responsibilities
Design and develop innovative algorithms for personalized shopping; deploy solutions into production with ownership of performance and scalability; identify areas for improvement in existing retrieval and reranking systems; propose data-driven solutions to replace business logic; collaborate to establish standards for deploying ML models.
Seniority
Senior, hands-on IC
