Meta
Data Scientist, Manus
MetaSingapore15 hours ago
Full-timeEngineering, Information Technology
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.

Data Scientist, Manus Responsibilities:

  • 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

Minimum Qualifications:

  • 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

Preferred Qualifications:

  • 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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