---
title: 'Decision Research Scientist at Rwazi, Inc.'
canonical: 'https://feeny.ai/job/decision-research-scientist-rwazi-inc-global-ye1snj1pxnsb'
type: 'job'
last_seen: '2026-10-13'
---

# Decision Research Scientist at Rwazi, Inc.

- **Company:** Rwazi, Inc.
- **Location:** Global
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-02-27
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/rwazi/405c728b-04fa-4a65-89f9-066285caab05

## Job description

Decision Research Scientist Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D

## Role Overview

Rwazi 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 Mandate The Decision Research Scientist is accountable for:

- Designing formal decision frameworks for complex enterprise problems
- Modeling tradeoffs, uncertainty, and signal ambiguity
- Advancing structured reasoning methodologies
- Testing and validating new decision architectures
- Converting research insight into system-ready primitives

This role strengthens the reasoning depth of Rwazi’s decision engine.

## Key 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

## Role Impact

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.

## Qualifications and Profile

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

Summary The Decision Research Scientist advances Rwazi’s applied decision intelligence by turning complex reasoning into structured, validated system logic.

## About Rwazi, Inc.

## Company Overview
- **One-liner**: Rwazi is a decision AI platform that helps global brands turn real-time, zero-party consumer data into strategic actions to optimize product-market fit and campaign performance.
- **Entity Type**: Private (Series A)
- **Headquarters**: Los Angeles, California, United States
- **Founded**: 2021
- **Founders**: Joseph Rutakangwa

## Core Business
- Primary industry/industries: Consumer insights, market intelligence, AI-driven analytics
- Target customers: Fortune 500 brands across industries like consumer packaged goods, retail, and technology; primarily B2B, serving enterprise clients.
- Mission or purpose statement: "Helping global brands grow with AI trained on zero-party consumer data." [rwazi.com](https://rwazi.com/)

## Products & Services
- **Sena (Decision AI)**: World’s first Decision AI built on real-world data. It combines proprietary CRM/finance/product data (e.g., HubSpot, Google Sheets, SAP S/4HANA, Snowflake) with billions of verified, voluntarily shared consumer signals from 195+ countries. Users can ask a single question and get an executable decision—designed to reduce customer acquisition cost, increase customer lifetime value, and capture/grow market share. [rwazi.com](https://rwazi.com/)
- **Zero-Party Data Collection**: A system that captures real-time consumer activity (what, when, where, how often, why) both online and offline across 5 million+ retail and digital locations, analyzing over 1 billion products. Data is voluntarily shared, audit-ready, and provenance-locked. [rwazi.com](https://rwazi.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**:
  - **Total Funding**: $20.0 million (across 4 rounds) [weforum.com](https://www.linkedin.com/company/rwazi)
  - **Annual Revenue**: $5.0M – $25.0M (estimated by external data providers) [apify.com](https://www.linkedin.com/company/rwazi)
- **Recent Funding (Series A)**: $12 million led by Bonfire Ventures (Aug 2025). [cbinsights.com](https://www.cbinsights.com/company/rwazi)
- **Notable Investors/Partners**: Bonfire Ventures (lead), Techstars, Jobtech Innovation Lab [apify.com](https://www.linkedin.com/company/rwazi)
- **Growth Signals**:
  - Headcount grew 42% year-over-year (from 26 to 47 employees). [apify.com](https://www.linkedin.com/company/rwazi)
  - LinkedIn followers grew 68% year-over-year (7,510 followers). [apify.com](https://www.linkedin.com/company/rwazi)
  - Featuring on the "UrbanGeekz 50 2025: AI & Machine Learning" list. [rwazi.com](https://rwazi.com/)

## Competitive Advantages
- **Ground-Truth Data**: Unlike generic AI models that reason over synthetic or web-scraped data, Sena is built on real-world signals directly and voluntarily shared by consumers. Every data point is traceable, consented, and audit-ready. [rwazi.com](https://rwazi.com/)
- **Multi-Source Fusion**: Combines proprietary company data (CRM, financials) with billions of consumer signals—enabling an intersection of internal and external data for the first time. [rwazi.com](https://rwazi.com/)
- **Global Scale**: Active in 190+ countries, spanning 5 million+ retail/digital locations, and analyzing 1 billion+ products. [rwazi.com](https://rwazi.com/)

## Strategic Focus
- Expanding enterprise adoption among Fortune 500 brands (especially as compliance-heavy industries are a key target). [rwazi.com](https://rwazi.com/)
- Continuing to build out the "Decision AI" category, replacing intuition-based decisions (gut calls) with data-driven, executable plans. [yahoo.com](https://rwazi.com/about)
- International growth: maintaining and scaling teams in the US, Kenya, Nigeria, Vietnam, India, and other countries. [apify.com](https://www.linkedin.com/company/rwazi)

## Why Work Here
- **Culture & Growth**: Fast-growing startup (42% headcount growth YoY) with a globally distributed team across 14+ countries. Recent $12M Series A indicates strong financial backing and runway. [cbinsights.com](https://www.cbinsights.com/company/rwazi)
- **Remote/Hybrid Policy**: Distributed workforce with a significant presence in the US (Los Angeles HQ) and a strong engineering/data team in Africa (Kenya, Nigeria). Likely supports remote/hybrid work given the global nature of the team. [apify.com](https://www.linkedin.com/company/rwazi)
- **Notable Perks/Engineering Culture**: Focus on building at the frontier of AI and real-world data. Department breakdown shows a mix of General Management (11%), Research (10%), Technical (10%), and Marketing (8%). A meaningful share of the team is in Research and Engineering roles. [apify.com](https://www.linkedin.com/company/rwazi)

## Sources
1. [Company Website](https://rwazi.com/)
2. [About Page](https://rwazi.com/about)
3. [Company LinkedIn Profile](https://www.linkedin.com/company/rwazi)
4. [CB Insights Profile](https://www.cbinsights.com/company/rwazi)
5. [Jobs / Careers Page](https://jobs.ashbyhq.com/rwazi)

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