Associate Data Scientist

Roles and Responsibilities:

• End-to-End Delivery Leadership: Managing the full project lifecycle from initial problem definition, scoping, and milestone tracking to user testing, production deployment, and project closure.
• Stakeholder Engagement & Vision Alignment: Engaging directly with business stakeholders to understand pain points, shape project goals, and communicate complex outcomes in a business-friendly manner.
• Business-to-Technical Translation: Converting high-level business vision and challenges into precise project scopes, actionable tasks, clear deliverables, and defined success criteria.
• Cross-Functional Collaboration: Partnering closely with Technical Leads, Data Scientists, and Engineers to ensure proposed solutions are technically feasible and aligned with business needs.
• Risk Management & Governance: Proactively identifying and mitigating project risks, issues, and dependencies while ensuring required documentation, approvals, and operational handovers are completed.
  Lead end-to-end Data Science and AI projects, taking full ownership of problem definition, planning, progress tracking, resource coordination, and delivery.
• Adapt and apply modern project management methodologies (e.g., Agile, Scrum) tailored to the unique flow of AI and data science delivery.
• Guide solutions seamlessly through all maturity stages: from initial prototype and validation phases to user testing, production readiness, and official release.

Requirements:

• Minimum Bachelor’s degree in Science, Technology, Engineering, or Mathematics(STEM).
• Minimum 3+ years of progressive experience as a Technical Business Analyst, Technical Project Manager, Technical Product Owner, or in a similar delivery role supporting AI, data science, or data-driven products.
• Proven track record of managing the full AI or data science project lifecycle—from ideation and problem definition through development, testing, production deployment, and operational handover.
• Strong practical knowledge of project management methodologies, including Agile and Scrum, with demonstrated ability to adapt them specifically to AI/ML delivery.
• Familiarity with major cloud platforms and AI infrastructure (e.g., Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure).
• Highly proactive and accountable mindset, demonstrating strong ownership and the ability to operate independently with minimal supervision in a fast-paced environment.

Interested applicants, please Email , and look for

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

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