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Senior Consultant, Data Science

SpringCube

Full time - Manager

IT Hardware & Devices: Personal Computing

Singapore ( Hybrid )

Published 4 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Senior Consultant, Data Science

Company Overview
A leading American multinational technology company headquartered in Round Rock, Texas, this organization is dedicated to designing, developing, and manufacturing a broad range of products, including personal computers, servers, storage solutions, and cloud services. Established from a major merger in 2016, the company serves a global clientele across diverse industries, prioritizing innovation and digital transformation in its operations.

Job Description
Amidst the dynamic advances of Artificial Intelligence, the AI-enabled PC space is evolving rapidly. As a leader in technology solutions, this company is bringing enhanced intelligence to the PC ecosystem, aiming to deliver superior performance, productivity, and user experiences while maintaining privacy and security. The team is pioneering innovative methods to infuse intelligence across the client PC portfolio, collaborating with top-tier AI companies, academic experts, and skilled engineers to provide groundbreaking solutions that redefine user interactions.

They are seeking a Data Scientist / Architect to join the Client Solutions Group (CSG) Chief Technology Officer (CTO) team in the Singapore Design Center. In this role, you will work as a lead data scientist with a strong AI/ML focus, directing a team of engineers and leveraging industry contacts to drive CTO AI initiatives.

What You’ll Achieve
As a Data Scientist / Architect on the CSG CTO team, you’ll spearhead technical AI projects by leading a team of data scientists, AI, and software engineers focused on developing and deploying AI-enabled solutions across client devices.

Responsibilities

  • Guide and collaborate with hardware and software engineers, data scientists, and data engineers to deliver complex AI/ML solutions for client devices.
  • Architect tailored AI/ML software solutions, applying deep knowledge of client device ecosystems.
  • Develop data pipelines across the client ecosystem and integrate ML solutions on client devices with cloud support.
  • Partner with business units to translate business questions into architectures and maintain an awareness of Generative AI advancements.
  • Work with marketing and engineering teams to define and execute a product roadmap, advocating for data science in all architectural decisions.

Requirements

  • Master’s degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or a related quantitative field; minimum of Bachelor’s + 12 years, MS + 8 years, or Ph.D. + 5 years of experience.
  • Advanced expertise with development in Microsoft Windows OS, including MS DirectML, WinML, and MS Graph, as well as embedded device development in RTOS.
  • Strong knowledge of AI/ML algorithms, particularly Generative AI, and optimization techniques for resource-limited environments; proficient in deep learning libraries like PyTorch, TensorFlow, and TensorRT.
  • Excellent communication skills for explaining analytical methods to technical and business audiences.
  • Proven leadership, mentorship, and coaching abilities in software development or data science teams.

Desirable Skills

  • Experience with cloud-based applications (specifically in Azure) and cross-functional team leadership.
  • Advanced experience with Open Neural Network Exchange (ONNX) models and hardware vendor toolchains such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software.

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.