Senior Advisor, 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 a Senior Advisor, data science Team in Singapore.

You will…

Define and lead the technical vision and strategy for AI/ML and GenAI solutions across multiple teams or business domains

Own and drive large, high-impact problem areas that are highly ambiguous, cross-functional, and critical to business success

Architect enterprise-scale AI systems, including advanced GenAI platforms and agentic ecosystems

Lead the adoption of emerging technologies and applied research, shaping how the organization leverages innovations in classical ML, optimization, simulation, causal inference, and GenAI

Establish best practices for AI-assisted development, ensuring high standards for code quality, governance, and maintainability at scale

Partner with senior business and engineering leaders to align AI investments with strategic priorities

Drive innovation programs, incubation efforts, and research initiatives that unlock new capabilities and competitive advantage

Mentor senior ICs (I6/I7) and act as a technical authority and escalation point for complex challenges

Influence and shape organizational capabilities, hiring strategy, and technical standards

Essential Requirements

Bachelor’s/Master’s/PhD with 8–12+ years of experience in data science, ML, or applied AI

Strategic Technical Leadership

Define technical direction and architecture for large-scale AI/ML and GenAI initiatives

Translate business strategy into scalable AI solutions and platforms

Influence decisions across teams, ensuring alignment with long-term architectural goals

Advanced Modeling & System Design

Demonstrated ability to lead the development of end-to-end AI/ML solutions, leveraging statistical modeling, machine learning, deep learning, optimization, forecasting, and anomaly detection techniques to solve complex business problems

Strong experience working with large-scale datasets using distributed computing frameworks such as Spark and Dask

Proven track record of architecting scalable and reliable ML platforms with integrated MLOps capabilities, ensuring reproducibility, governance, monitoring, and operational excellence

Provide guidance on advanced modeling techniques, including deep learning, optimization, simulation, demand forecasting, causal inference, and NLP

Ensure appropriate trade-offs between model complexity, performance, and maintainability

Design systems with reusability, modularity, and platform thinking

Balance classical statistical and ML techniques with modern GenAI approaches based on problem fit and domain relevance.

Classical Techniques, Optimization & Domain Analytics

Champion the use of classical techniques - optimization, simulation, demand forecasting, causal inference, and experimentation design - as foundational capabilities of the team

Ensure advanced analytics solutions address core supply chain problems such as demand planning, inventory optimization, logistics, and operational decision-making

Drive the adoption of prescriptive and causal approaches alongside predictive and generative methods

GenAI & Agentic Systems (Expert-Level Expectation)

Architect and oversee development of advanced Generative AI systems, including:

Enterprise-scale RAG architectures

Multi-agent systems and orchestration frameworks

LLM fine-tuning, evaluation, and optimization strategies

Establish standards, guardrails, and governance frameworks for responsible GenAI use

Drive adoption of agentic AI capabilities to enable intelligent automation and decision systems

Innovation & Research Leadership

Lead applied research and innovation strategy across teams

Identify emerging technologies and translate them into scalable, production-ready solutions

Establish and drive innovation programs, research agendas, and incubation efforts

Encourage experimentation while ensuring clear pathways to production and business impact

Champion innovation across both classical methods (optimization, simulation, causal inference) and modern AI techniques

Coding Assist & Engineering Excellence at Scale

Define and enforce best practices for AI-assisted coding and development workflows

Ensure teams effectively:

Use coding-assist tools responsibly

Review and maintain AI-generated code rigorously

Champion engineering excellence, including testing, CI/CD, observability, and scalability

Advanced Modeling & System Design

Provide guidance on advanced modeling techniques, including deep learning, optimization, forecasting, and NLP

Ensure appropriate trade-offs between model complexity, performance, and maintainability

Design systems with reusability, modularity, and platform thinking

Data, Platform & Ecosystem Integration

Oversee integration of AI systems into enterprise data platforms and distributed architectures

Ensure systems meet requirements for:

Scalability

Reliability

Security and governance

Drive adoption of MLOps / LLMOps practices across teams

Organizational Influence & Mentorship

Mentor and coach senior data scientists (I6/I7)

Lead design and architecture reviews

Influence organizational capability building, hiring, and technical standards

Desirable Requirements

Proven track record of:

Leading large-scale, cross-functional AI initiatives

Defining and executing AI/GenAI strategies

Delivering enterprise-grade AI systems in production

Deep experience with:

LLM ecosystems (e.g., Azure OpenAI, open-source models)

Agentic frameworks and orchestration tools

Vector databases and large-scale data systems

Optimization solvers, simulation tools, or causal inference frameworks

Distributed computing frameworks such as Spark and Dask

Nice to Have (Advanced Expertise Areas)

Experience in supply chain, operations research, demand forecasting, inventory optimization or enterprise optimization domains.

Contributions to research publications, patents, or thought leadership

Experience influencing executive-level decision-making and strategy

Strong familiarity with responsible AI, governance, and compliance frameworks

Advanced AI Data Systems Knowledge

Understanding of agentic memory architectures, including short-term, long-term, and episodic memory patterns in AI agents

Hands-on experience or familiarity with vector databases (e.g., embeddings storage, similarity search, RAG optimization)

Knowledge of graph databases and graph-based reasoning, including knowledge graphs, entity relationships, and their use in AI/GenAI systems

Ability to combine vector, graph, and memory-based approaches to design richer, context-aware AI systems

Hands-on experience with MCP (Model Context Protocol) and A2A (Agent-to-Agent communication)

Experience integrating AI/ML and LLM Observability and Monitoring tools

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.