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Data Scientist, Manus

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Meta

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Location:
Singapore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Data Scientist on Meta's Manus team, you will shape the future of autonomous AI agents that understand, reason, and act in complex digital environments. Manus is Meta's general-purpose AI agent that bridges mind and action — enabling people to delegate entire workflows across research, data analysis, and software development, turning advanced AI into reliable, practical results. You will work closely with cross-functional partners including product managers, engineers, and researchers to deliver actionable insights, build robust metric systems, and drive data-informed decisions that shape the product roadmap. You will use data to help the team identify high-potential opportunities, continuously track the progress of impactful projects, and drive the team to achieve business outcomes.

Job Responsibility:

  • Design analytical frameworks for core business areas, define trackable metric systems that translate business and product logic, and diagnose the root causes behind metric fluctuations
  • Conduct analysis of product and business funnels
  • perform impact driver analysis and opportunity sizing aligned to team objectives
  • Design and evaluate A/B experiments targeting onboarding, features, messaging, and monetization
  • own experiment methodology, track project progress, and deliver actionable results
  • Build consensus with Product Management and Engineering partners to drive execution under uncertainty, ensuring data insights feed directly into roadmap and launch decisions
  • Design and build well-crafted dashboards, reports, and analytics tools that serve the needs of management, product, and engineering teams

Requirements:

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field
  • 4+ years of experience in a data science, analytics, or related role
  • Experience with core product analytics methods including metric definition, instrumentation design, funnel analysis, and retention analysis, with the ability to translate insights into decisions and actions
  • Experience in business data analysis, including business modeling, metric forecasting, and metric anomaly attribution
  • Experience designing and evaluating A/B experiments, with the ability to make recommendations under uncertainty
  • Proficiency in SQL and Python for data extraction, quality validation, and analysis
  • Written and verbal communication skills, with the ability to clearly convey insights, conclusions, and recommendations to broad audiences
  • Demonstrated ability to influence product roadmap and launch decisions through data-driven insights

Nice to have:

  • Experience in growth-related areas such as onboarding, feature adoption, distribution, or retention
  • Understanding of AI, LLM, or agent-based workflows, with the ability to collaborate closely with engineers on technical solutions
  • Proficiency in Mandarin (spoken and written) to support collaboration with Mandarin-speaking team members and review technical documentation
  • Experience presenting data-driven insights to executive and leadership audiences
  • Experience leading cross-functional initiatives and influencing across an organization
  • Experience with AI-powered analytics and productivity tools
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Additional Information:

Job Posted:
April 05, 2026

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