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 develop