Data Scientist (Project Lead)
Posted
Summary
Leads end-to-end data science and AI/ML project delivery in Singapore: translating business needs into scope, managing timelines, risks, and deployments, and coordinating with cross-functional technical teams. Core focus is technical project management using Agile/Scrum and cloud platforms like AWS, Azure, or GCP.
Data Scientist – AI/ML Project Delivery
Key Responsibilities
• Manage end-to-end Data Science and AI/ML projects, from problem definition and planning through testing, deployment, and handover.
• Engage business stakeholders to understand requirements, challenges, and expected outcomes.
• Translate business needs into clear project scope, deliverables, tasks, and success criteria.
• Collaborate with Data Scientists, Engineers, Developers, and Technical Leads to deliver practical AI/ML solutions.
• Track project timelines, milestones, risks, issues, and dependencies.
• Coordinate user testing, production readiness, deployment, and operational handover.
• Present project progress, technical findings, and outcomes clearly to both technical and non-technical stakeholders.
• Maintain required project documentation, approvals, and stakeholder sign-offs.
Requirements
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related STEM field.
• 3+ years of relevant experience in Data Science/AI project delivery, Technical Business Analysis, Technical Project Management, or similar roles.
• Experience managing AI/ML or data-driven projects from requirements through production deployment.
• Good understanding of Agile/Scrum project methodologies.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong stakeholder management, communication, and problem-solving skills.
• Able to work independently and effectively with cross-functional technical teams.
Working Hours:
Monday to Friday, 8:30 AM – 5:30 PM