Advisor, Data Science (Feature Engineer) - Global Ops Data Science

About the role

Dell Technologies is hiring a Data Science Advisor (feature engineer) for its Global Operations Data Science team in Jurong East, Singapore. The team sits within Supply Chain and uses statistical, predictive and prescriptive approaches to solve business problems, with a focus on building high-quality features that power machine learning and GenAI systems.

Key responsibilities

• Partner with data scientists, ML engineers and domain experts to design and deliver features for ML and GenAI systems
• Lead feature discovery and identification across structured and unstructured data, and own the end-to-end feature engineering lifecycle
• Design scalable feature pipelines and services, integrating features into training, inference and real-time decision systems
• Develop features for NLP and GenAI, including embeddings, similarity search and support for RAG and agentic workflows
• Mentor junior team members and help set best practices in feature development and data engineering
• Use AI-assisted coding tools while keeping high standards of code review, correctness and efficiency

Required profile

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science or a related field
• 5-8 years of experience in ML engineering, data engineering or data science, with a strong focus on feature engineering
• Nice to have: experience building production-grade data pipelines, feature stores, vector and graph databases, and understanding of agentic memory architectures

Required skills

• Structured data (SQL, data warehouses) and unstructured data (text, logs, documents)
• EDA, embeddings, representation learning, feature selection and dimensionality reduction
• Software engineering: modular, testable code, APIs, version control, CI/CD, batch and real-time feature services
• Airflow data pipelines and enterprise database management
• Nice to have: Feast or Tecton, MLOps/LLMOps, real-time feature serving