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Jobs/Research Scientist Role/Rwazi, Inc. - Decision Research Scientist
Rwazi, Inc.

Rwazi, Inc. - Decision Research Scientist

Remote - Global (Remote)3mo ago
RemoteNAArtificial IntelligenceResearch Scientist

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Requirements

• We are looking for individuals who demonstrate: • Strong grounding in decision theory, systems modeling, or applied reasoning • Experience formalizing ambiguous problems into structured frameworks • Comfort working with AI systems and reasoning architectures • Ability to design and evaluate experiments rigorously • Intellectual independence and systems thinking • Candidates may come from applied AI research, quantitative modeling, computational social science, economics, operations research, or advanced analytics domains. • HOW CANDIDATES ARE EVALUATED • Candidates are evaluated based on: • Their ability to formalize complex decision problems • The rigor and clarity of their reasoning models • Evidence of applying theory to practical systems • Depth of structured thinking • Their ability to improve decision quality measurably

Responsibilities

• APPLIED DECISION MODELING • Formalize complex business questions into structured decision systems • Model uncertainty, tradeoffs, and multi-variable constraints • Design evaluation logic for ambiguous signal environments • Develop structured judgment methodologies • RESEARCH-TO-APPLICATION TRANSLATION • Apply theoretical frameworks to real client use cases • Test decision logic against live or simulated environments • Identify structural weaknesses in existing decision pathways • Propose formal improvements with measurable rigor • EXPERIMENTAL DESIGN • Design controlled experiments to validate reasoning enhancements • Define metrics for decision quality and output consistency • Compare alternative system architectures under defined constraints • CROSS-FUNCTIONAL INTEGRATION • Collaborate with Research Engineers to prototype research concepts • Provide formal specifications to Product and Engineering • Advise leadership on long-term decision capability evolution • Strong performance in this role results in: • More reliable and explainable decision outputs • Increased reasoning depth across signal types • Expansion into new classes of enterprise problems • Stronger structural defensibility • This role deepens Rwazi’s intellectual core. • WHAT THIS ROLE IS NOT • This is not feature delivery • This is not surface-level analytics • This is not academic research detached from application • This role requires rigorous thinking applied to real-world constraints.

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