Applied Research Scientist

MBZUAI
Anywhere
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: mastersSkills: ["Communication","Cross-disciplinary collaboration","Stakeholder management","Data quality mindset","Ethical data thinking"]

Lead the conceptual design and architectural planning of an agricultural data platform to enable AI-enabled advisory, research, and deployment. Own dataset prioritization, schemas, metadata standards, interoperability, and data governance (access, consent, reuse, ethics). Define incentive mechanisms to improve data quality and minimize bias or distortion, and specify data pipelines, validation, onboarding, and provenance workflows in collaboration with engineering and external partners.

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FursaFursa
MBZUAI
MBZUAI
2 months ago

Applied Research Scientist

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Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Lead the conceptual design and architectural planning of an agricultural data platform to enable AI-enabled advisory, research, and deployment. Own dataset prioritization, schemas, metadata standards, interoperability, and data governance (access, consent, reuse, ethics). Define incentive mechanisms to improve data quality and minimize bias or distortion, and specify data pipelines, validation, onboarding, and provenance workflows in collaboration with engineering and external partners.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the end-to-end conceptual design and architecture of the agricultural data platform, including data schemas, metadata standards, and interoperability considerations.
  • •Identify and structure key agricultural data categories needed to support AI model development, evaluation, and deployment.
  • •Design incentive mechanisms and participation models to encourage high-quality, reliable data contributions while managing trade-offs across quality, cost, burden, and coverage.
  • •Lead data governance and stewardship frameworks covering access control, data ownership, consent, reuse, and ethical considerations.
  • •Specify data sanitization, validation, quality assurance, and onboarding pipelines for new datasets and partners, including documentation and provenance tracking.

Key Requirements

  • •Master’s degree in data science, computer science, economics, information systems, social sciences, or a related field.
  • •Minimum four (4) years of experience (after graduation) in applied research, data platform design, or data-intensive system development.
  • •Demonstrated ability designing end-to-end data systems, including data collection, governance, and quality management components.
  • •Strong cross-disciplinary communication with both technical and non-technical stakeholders.
  • •PhD or equivalent applied research experience is an advantage (not required).
Experience:4+ yearsApplied researchData-intensive systemsData governance
Education:Master's
Skills:CommunicationCross-disciplinary collaborationStakeholder managementData quality mindsetEthical data thinking

Company Brief

MBZUAI
Mohamed bin Zayed University of Artificial Intelligence is a graduate-level research university in Abu Dhabi focused on AI education, research, and industry collaboration. It offers advanced programs in machine learning, computer vision, natural language processing, and related fields.
Industry: Higher Education
Company Size: Large (251 to 1,000 employees)
Growth: Government & Public Sector
Funding: Government Funded
Headquarters: Abu Dhabi, United Arab Emirates
Founded: 2019
WebsiteLinkedIn