Role OverviewRwazi advances decision systems — software capable of structured reasoning under real-world constraints.The Decision Research Scientist applies formal reasoning, modeling, and experimentation to real enterprise decision problems.This role operates at the boundary between research and application.It translates abstract decision theory, evaluation logic, and structured reasoning into practical system improvements that enhance Rwazi’s decision intelligence.This is applied decision research — not academic isolation.Core MandateThe Decision Research Scientist is accountable for:Designing formal decision frameworks for complex enterprise problemsModeling tradeoffs, uncertainty, and signal ambiguityAdvancing structured reasoning methodologiesTesting and validating new decision architecturesConverting research insight into system-ready primitivesThis role strengthens the reasoning depth of Rwazi’s decision engine.Key ResponsibilitiesApplied Decision ModelingFormalize complex business questions into structured decision systemsModel uncertainty, tradeoffs, and multi-variable constraintsDesign evaluation logic for ambiguous signal environmentsDevelop structured judgment methodologiesResearch-to-Application TranslationApply theoretical frameworks to real client use casesTest decision logic against live or simulated environmentsIdentify structural weaknesses in existing decision pathwaysPropose formal improvements with measurable rigorExperimental DesignDesign controlled experiments to validate reasoning enhancementsDefine metrics for decision quality and output consistencyCompare alternative system architectures under defined constraintsCross-Functional IntegrationCollaborate with Research Engineers to prototype research conceptsProvide formal specifications to Product and EngineeringAdvise leadership on long-term decision capability evolutionRole ImpactStrong performance in this role results in:More reliable and explainable decision outputsIncreased reasoning depth across signal typesExpansion into new classes of enterprise problemsStronger structural defensibilityThis role deepens Rwazi’s intellectual core.What This Role Is NotThis is not feature deliveryThis is not surface-level analyticsThis is not academic research detached from applicationThis role requires rigorous thinking applied to real-world constraints.Qualifications and ProfileWe are looking for individuals who demonstrate:Strong grounding in decision theory, systems modeling, or applied reasoningExperience formalizing ambiguous problems into structured frameworksComfort working with AI systems and reasoning architecturesAbility to design and evaluate experiments rigorouslyIntellectual independence and systems thinkingCandidates may come from applied AI research, quantitative modeling, computational social science, economics, operations research, or advanced analytics domains.How Candidates Are EvaluatedCandidates are evaluated based on:Their ability to formalize complex decision problemsThe rigor and clarity of their reasoning modelsEvidence of applying theory to practical systemsDepth of structured thinkingTheir ability to improve decision quality measurablySummaryThe Decision Research Scientist advances Rwazi’s applied decision intelligence by turning complex reasoning into structured, validated system logic.

Decision Research Scientist

Emma

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Eric Sewankambo

Joseph Rutakangwa

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rwazi.com/

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