Data Scientist 2

What you'll do

• Design and maintain production-scale distributed machine learning pipelines using PySpark, Databricks, and Delta Lake.
• Implement deep learning models including neural collaborative filtering and transformer-based sequential recommendation systems.
• Own the complete ML workflow from data ingestion and feature engineering to model training and automated inference.
• Develop feature engineering frameworks combining multi-modal product attributes and customer behavioral signals.
• Build and maintain CI/CD workflows and deployment automation using GitHub Actions and Databricks.
• Design and implement data governance, validation, and monitoring mechanisms for production ML assets.
• Optimize distributed processing performance and cloud resource utilization to balance accuracy and infrastructure costs.

What we're looking for

• Master’s degree in Data Science, Computer Science, Computer Information Systems, or a related field.
• 4 years of work experience in the job offered or a related role.
• Proficiency in Python and SQL for production-grade code development.
• Experience with PySpark, Databricks, Delta Lake, MLflow, and Unity Catalog.
• Expertise in transformer-based deep learning, neural collaborative filtering, and recommendation systems.
• Experience building CI/CD workflows using GitHub Actions and Databricks workflows.
• Skills in A/B testing methodologies, KPI analysis, and advanced feature engineering.
• Experience with cloud-based machine learning platforms and large-scale data integration.