Data Scientist 2
Core
Design, develop, and maintain production-scale distributed machine learning pipelines for e-commerce recommendation systems, implementing advanced models like neural collaborative filtering and transformer-based sequential recommendation.
Role type
Senior IC machine learning engineer (recommendation systems)
Builds
End-to-end production ML workflows for large-scale personalization across multiple brands and markets
Domain
E-commerce, recommendation systems, distributed data processing
Deliverable
production ML models
Required skills
Transformer-based deep learning, neural collaborative filtering, PySpark, Delta Lake, MLflow, Unity Catalog, feature engineering, MLOps, CI/CD automation, Python, SQL
Preferred skills
A/B testing methodologies, KPI analysis, supervised/unsupervised learning, cloud-based ML platforms
Technologies
Azure Databricks, Apache Spark, GitHub Actions, Delta Lake, MLflow, Unity Catalog
Responsibilities
Design and implement transformer-based deep learning architectures and embedding-based modeling techniques; Build and maintain CI/CD workflows and deployment automation; Develop advanced feature engineering frameworks combining multi-modal attributes and behavioral signals; Optimize distributed processing performance and cloud resource utilization; Design and implement data governance, validation, and monitoring mechanisms.
Seniority
Senior, hands-on IC
