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...
1.

Define and lead the technical vision and strategy for AI/ML and GenAI solutions across multiple teams or business domains
2.

Own and drive large, high-impact problem areas that are highly ambiguous, cross-functional, and critical to business success
3.

Architect enterprise-scale AI systems, including advanced GenAI platforms and agentic ecosystems
4.

Lead the adoption of emerging technologies and applied research, shaping how the organization leverages innovations in classical ML, optimization, simulation, causal inference, and GenAI
5.

Establish best practices for AI-assisted development, ensuring high standards for code quality, governance, and maintainability at scale
6.

Partner with senior business and engineering leaders to align AI investments with strategic priorities
7.

Drive innovation programs, incubation efforts, and research initiatives that unlock new capabilities and competitive advantage
8.

Mentor senior ICs (I6/I7) and act as a technical authority and escalation point for complex challenges
9.

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

Essential Requirements
1.

Bachelor's/Master's/PhD with 8-12+ years of experience in data science, ML, or applied AI
2.

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

3.

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, moni...