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Data Scientist - Data AI Project Experience

lead5,500 SGDSingapore, SGScore 72.5/100today
Market insights
📊 Product Management: salaries and demand on the market
Stack
Microsoft AzureBusiness Stakeholder ManagementUATorganizational pain-pointsAgile Project ManagementTechnical Project ManagementTranslate Into Technical RequirementsProject PlanningPotential RisksProject TimelineTechnical Product DevelopmentTechnical Consultation
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Description
Key Responsibilities Lead end-to-end AI, Data Science and data-driven projects from ideation and requirements gathering through development, UAT, production deployment and handover. Engage business stakeholders to understand pain points, define project objectives, scope, deliverables and success criteria. Translate business requirements into clear technical requirements and actionable tasks for Technical Leads, Data Scientists and Engineers. Manage project timelines, resources, risks, issues, dependencies and governance. Apply Agile/Scrum methodologies and adapt project delivery approaches for AI/ML projects. Communicate project progress, technical outcomes and recommendations clearly to non-technical stakeholders. Manage stakeholder expectations and drive alignment between business and technical teams. Any other ad-hoc duties as assigned by supervisor Requirements 2+ years of experience as a Technical Business Analyst, Technical Project Manager, Technical Product Owner or similar role. Proven experience delivering AI, Data Science or data-driven projects end-to-end. Strong knowledge of Agile/Scrum project management. Familiarity with AWS, Azure or GCP and AI/cloud infrastructure. Interested applicants, please email your resume to Lisa (Lisha) Zhang Email: [email] CEI Reg No: R25157448 EA Licence No: 99C4599 Recruit Express Pte Ltd
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