Advisor, Data Science

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

Dell Technologies is a leader in providing technology infrastructure to its customers in an era increasingly being driven by digital and data. Enabling Dell to satisfy its customers’ needs hinges on executing a world class supply chain, connecting together sales orders with a complex ecosystem of partners and suppliers. Data plays an integral role in this as we digitize and modernize our supply chain. Join our Data science team within Supply chain as a data scientist to solve our most challenging business problems with statistical, predictive and prescriptive approaches, making our decision making faster and more sophisticated. We offer a competitive remuneration package.

Join us to do the best work of your career and make a profound social impact as an Advisor, data science Team in Singapore.

You will…

Partner closely with data scientists, ML engineers, and domain experts to design and deliver high-quality features that power ML and GenAI systems

Lead data discovery and feature identification efforts across complex structured and unstructured datasets

Own the end-to-end feature engineering lifecycle, including ingestion, transformation, validation, and productionization

Design and implement robust, scalable feature pipelines and services using strong software engineering principles

Bring a software engineering (ML engineering) mindset to data and feature development, ensuring reliability, performance, and maintainability

Leverage AI-assisted coding tools (e.g., Copilot, LLM-based tools) while maintaining high standards of code review, correctness, and efficiency

Drive innovation in feature engineering, including embeddings, representation learning, and data-centric AI approaches

Work with ML engineers to integrate features into training, inference, and real-time decision systems

Mentor junior team members and help establish best practices in feature development and data engineering

Essential Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field with 5–8 years of experience in ML engineering, data engineering, or data science, with a strong focus on feature engineering

Feature Engineering & Data Discovery (Core Focus)

Lead feature identification and engineering across:

Structured data (SQL, data warehouses, relational systems)

Unstructured data (text, logs, documents, semi-structured sources)

Perform deep exploratory data analysis (EDA) to uncover patterns, anomalies, and predictive signals

Apply advanced techniques:

Feature extraction, transformation, and scaling

Embeddings and representation learning

Feature selection and dimensionality reduction

ML Engineering & Software Engineering Excellence

Strong foundation in software engineering practices, including:

Writing production-quality, modular, testable code

API and service development (for feature serving)

Version control, CI/CD, and system reliability

Design and implement feature pipelines as scalable systems, not just scripts

Build and maintain data/feature services for both batch and real-time use cases

Collaborate on model training and inference pipelines, ensuring seamless integration

Unstructured Data & GenAI Feature Development

Develop features for NLP and GenAI applications, including:

Text preprocessing, tokenization, and normalization

Embedding generation and similarity search features

Support and enhance RAG pipelines and LLM-based workflows with high-quality data representations

Contribute to agentic systems, especially around context construction, state, and data grounding

Data Engineering & Feature Pipelines

Build scalable and reusable feature pipelines using modern data processing frameworks

Ensure pipelines are:

Fault-tolerant and performant

Observable and testable

Implement efficient data transformations for large-scale datasets

In-depth hands-on experience in Enterprise Database Management

Experience with Airflow data pipelines for orchestrating and scheduling feature and data workflows

Coding Assist & Code Quality

Use AI-assisted coding tools to enhance productivity

Critically review and validate tool-generated code, ensuring correctness, efficiency, and security

Maintain high standards of code quality, testing, and documentation

Data Quality, Validation & Monitoring

Implement robust data validation and feature quality checks

Monitor:

Data consistency

Feature drift

Pipeline health

Ensure traceability and reproducibility of features used across models

Collaboration & Technical Leadership

Act as a bridge between data science and ML engineering, aligning feature design with modeling needs

Provide technical leadership on feature engineering best practices

Mentor I5/I6 team members and contribute to design and code reviews

Innovation & Applied Research

Drive innovation in:

Feature engineering frameworks and tooling

Data-centric AI and representation learning

Experiment with and adopt emerging approaches in GenAI, embeddings, and feature stores

Lead or contribute to prototyping and innovation initiatives

Desirable Requirements:

Proven experience:

Building production-grade data pipelines and feature systems

Applying software engineering best practices to data/ML systems

Working with large-scale structured and unstructured date

Experience with:

Feature stores (Feast, Tecton, or similar)

Vector databases and embedding pipelines

Graph databases and knowledge graphs

Enterprise database management systems

Airflow or similar workflow orchestration tools

Understanding of:

Agentic memory architectures (short-term, long-term, contextual memory)

Combining vector, graph, and memory-based approaches for richer AI systems

Familiarity with:

MLOps / LLMOps practices

Real-time feature serving architectures

Experience in supply chain or domain-specific analytics

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Who We Are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Visit our Culture Code page to learn more about how we work and lead.