---
title: 'Data Scientist – Warsaw at QED.ai'
canonical: 'https://feeny.ai/job/data-scientist-warsaw-qed-ai-warsaw-dche6y1jx53k'
type: 'job'
last_seen: '2026-09-10'
---

# Data Scientist – Warsaw at QED.ai

- **Company:** QED.ai
- **Location:** Warsaw, Poland
- **Employment:** full-time
- **Posted:** 2026-02-18
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/qed-ai/af0a0470-d6d9-47de-abda-a3d3eb64f07c

## Job description

QED (https://qed.ai) is a tech company focused on public health and food security in Sub-Saharan Africa. We build the digital infrastructure and AI used at the intersection of aid and scientific inquiry, including in-situ nutrient analysis of crops and soils and foods, and surveillance of HIV and malaria at national-scale in multiple African countries. Our funding comes from philanthropic and governmental organizations, such as the Gates Foundation, the Polish Ministry of Agriculture, EU funding programmes, the Global Fund, and others.

We are looking for a Data Scientist to join our team in Warsaw, Poland working on ScanSpectrum (https://scanspectrum.qed.ai), a low-cost and handheld spectrophotometry kit being used to assess quality parameters of food and agricultural products.

Scope of Work

- Build and improve regression models for spectroscopic data (e.g., PLSR, SVR, Extra Trees)
- Plan sampling strategies and real-world experimental design with a strong statistical mindset (representativeness, power, coverage across varieties/regions/seasons/batches).
- Design robust training/evaluation pipelines: preprocessing, feature engineering, hyperparameter tuning, and proper cross-validation.
- Apply chemometrics best practices to spectral data (baseline/scatter effects, derivatives, outliers, drift).
- Diagnose model failures and data issues (instrument effects, label noise, dataset shift) and propose fixes.
- Construct dashboards/reports to present and visualize data analytics.
- Collaborate with engineering/product to package and deploy models (model export, versioning, monitoring metrics).
- Assist in effective communication with scientific institutes, companies, or researchers that QED currently collaborates with or wishes to collaborate with.
- Collaborate with governmental, medical, agronomic, and computer science teams in the composition of research papers and impact reports.

## Requirements

Technical

- Proficiency with core ideas in statistics.
- Formal academic studies in statistics, data science, or software engineering, coupled with some practical experience with analyzing real-world datasets.
- Ability to use computer programming to wrangle, inspect, and analyze statistical data.
- Proficiency with git and Python-based programming environments, preferably with CI/CD.
- Practical proficiency in analyzing substantial real-world datasets with
- traditional statistical techniques, such as regression, hypothesis testing, survey design, time series, and RCTs, and also
- with modern machine learning methods, such as decision trees, boosting and neural networks.
- Tenacity and curiosity to acquire domain expertise as needed, enabling rigorous contextualization of statistical challenges within established scientific frameworks (e.g., biology, chemistry, agronomy).

General

- Working proficiency (≥C1) in speaking and reading English, and capable of typing English with a speed of at least ≥45 words per minute.
- Logical reasoning and ability to express oneself clearly, both orally and in writing.
- Willingness and interest in working with people from other cultures. Emotional resilience and social intelligence to communicate and work with collaborators from around the world, including Europe, Africa, Asia, and the USA.
- Don’t be afraid of getting your hands dirty.
- … and you have to care about the work that you do!

Below are additional skills that are a bonus, but are not required:

- Prior experience with spectroscopy (Vis/NIR/MIR) and chemometrics in practice.
- Understanding of spectroscopy physics (e.g., overtones/combination bands, scattering, path length effects).
- Experience with calibration transfer, drift monitoring, or multi-instrument datasets.
- Domain familiarity: food chemistry, agriculture, grain quality, soil/plant analysis, lab reference methods.
- Domain knowledge and/or interest in the sustainable development goals, particularly in agriculture, climate change, public health, and/or assisting developing countries.

## About QED.ai

## Company Overview
- **One-liner**: QED.ai (Quantitative Engineering Design) builds AI-driven data systems and solutions for global health and agriculture in developing countries.
- **Entity Type**: Private (Bootstrapped/Mission-Driven)
- **Headquarters**: Global presence with offices in USA, Kenya, Poland, and Malawi
- **Founded**: 2008
- **Founders**: Dr. William Wu (CEO, Co-Founder), Dr. Jiehua Chen (Chief Statistician, Co-Founder)

## Core Business
- **Primary Industries**: Global Health, Agriculture, International Development, AI/Data Systems
- **Target Customers**: Governments (e.g., Ministries of Health), NGOs, and international organizations (CDC, Gates Foundation, USAID, CIMMYT) in Sub-Saharan Africa, South Asia, and Latin America
- **Mission/Purpose**: To empower local organizations in developing countries by using technology to build their capacity, aligning with UN Sustainable Development Goals 2 (Zero Hunger), 3 (Good Health and Well-being), and 15 (Life on Land).

## Products & Services
- **ScanForm**: An AI-powered mobile app that digitizes and analyzes handwritten data on paper forms (e.g., medical registers) using a smartphone camera. Integrates with systems like EMR and DHIS2. Used at national scale for HIV testing in Malawi and other countries.
- **ScanSpectrum**: A rugged handheld visible/near-infrared spectrometer (400-1100 nm) for field measurements of plants and environmental science.
- **PACK (Portable Automated Carbon Kit)**: A low-cost, lunchbox-sized device for measuring soil carbon in the field.
- **Geospatial Mapping**: Remote sensing and AI services for classifying land-use at regional and national levels, focusing on Sub-Saharan Africa and South Asia.
- **Data Systems & Analytics**: Custom data processing pipelines for surveillance of malaria, child mortality, crop disease, and soil health; clinical trial support.

## Market Standing
- **Valuation**: Not publicly available (private, mission-driven firm)
- **Key Metric**: Since 2008, has provided mission-critical support to health and agriculture projects in 23+ countries.
- **Notable Partners/Clients**: Centers for Disease Control and Prevention (CDC), Gates Foundation (BMGF), International Maize and Wheat Improvement Center (CIMMYT), United States Agency for International Development (USAID).
- **Growth Signals**: National-scale deployment of ScanForm for HIV testing in Malawi (expanded to PrEP, PCR, STI); expansion to multiple other countries (South Africa, Nigeria, Cameroon, others); COVID-19 pandemic accelerated demand for ScanForm; featured in The Gates Notes as one of Bill Gates' Goalkeepers.

## Competitive Advantages
- **Deep Domain Expertise**: 15+ years of on-the-ground experience in developing countries with a pragmatic, infrastructure-aware approach.
- **Proprietary AI/Data Stack**: ScanForm is a proven, scalable solution for digitizing handwritten data in low-resource settings, a critical gap in global health data systems.
- **Strong Partner Network**: Long-standing collaborations with top-tier global health and development organizations.
- **Mission-Driven Model**: Fully focused on impact, not profit maximization, allowing for unconventional, high-impact projects.

## Strategic Focus
- **Current Priorities**: Scaling ScanForm to more countries and disease areas (HIV, malaria, STIs); expanding geospatial mapping and soil health work; building local capacity through training and partnerships.
- **Direction**: Deepening its role as the go-to technology partner for governments and donors in the Global South for data systems and AI, particularly in health and agriculture.

## Why Work Here
- **Culture**: Described as the "opposite of a big corporation" with extremely light bureaucracy, no matrix organization, and a focus on mission and delivering excellent work. They seek people eager for challenge, passionate about their craft, and genuinely interested in international development.
- **Work Style**: Unconventional, rapid scientific experimentation. High expectations for commitment and responsibility, reciprocated with devotion to the cause.
- **Perks**: Opportunity to work on meaningful, socially conscious projects that clearly benefit others; travel to exotic places around the world (e.g., Malawi, Kenya, Nigeria, Nepal, Cambodia); little bureaucracy.
- **Remote/Hybrid**: Offers both remote and in-office roles depending on the position (e.g., Data Scientist – Warsaw is in-office; Data Engineer – Cameroon is remote). Offices in USA, Kenya, Poland, and Malawi.
- **Engineering Culture**: Values pragmatic innovation, learning through rapid experimentation, and working in highly demanding environments. Founders have strong technical backgrounds (NASA JPL, UC Berkeley, bioinformatics).

## Sources
1. [QED.ai Official Website](https://about.qed.ai/)
2. [QED.ai About Us](https://about.qed.ai/about-us)
3. [QED.ai Careers Page](https://about.qed.ai/careers)
4. [QED.ai LinkedIn](https://www.linkedin.com/company/quantitative-engineering-design)
5. [Built In - QED.ai Careers](https://builtin.com/company/qedai)
6. [Ashby Careers Page](https://jobs.ashbyhq.com/qed-ai)

## Other roles at QED.ai

- [ScanForm Country Lead - Cote d'Ivoire](https://feeny.ai/job/scanform-country-lead-cote-d-ivoire-qed-ai-cote-d-ivoire-prww27f7y22v) — Côte d'Ivoire
- [ScanForm Operations Manager - Côte d'Ivoire](https://feeny.ai/job/scanform-operations-manager-cote-d-ivoire-qed-ai-cote-d-ivoire-h2bs597jea88) — Côte d'Ivoire
- [STEM Operations Intern](https://feeny.ai/job/stem-operations-intern-qed-ai-global-w40cmcrq4bqx) — Global
- [Lead Infrastructure Engineer](https://feeny.ai/job/lead-infrastructure-engineer-qed-ai-warsaw-hvfhm9nbg2bc) — Warsaw, Poland
- [Administrative Coordinator](https://feeny.ai/job/administrative-coordinator-qed-ai-malawi-8y6s594zvyr7) — Malawi
- [High School STEM Teacher – Philippines to Malawi](https://feeny.ai/job/high-school-stem-teacher-philippines-to-malawi-qed-ai-philippines-ryvcxexa63mk) — Philippines
- [Math Instructor - Early Years](https://feeny.ai/job/math-instructor-early-years-qed-ai-malawi-50epk7n45aba) — Malawi
- [Math Instructor - Primary Years](https://feeny.ai/job/math-instructor-primary-years-qed-ai-malawi-e1jmva755nr9) — Malawi
- [IT Operations Specialist](https://feeny.ai/job/it-operations-specialist-qed-ai-warsaw-j6y70nc3bq6d) — Warsaw, Poland
- [Assistant(e) d'impression - Côte d'Ivoire](https://feeny.ai/job/assistant-e-d-impression-cote-d-ivoire-qed-ai-cote-d-ivoire-snsg5ecz6jkw) — Côte d'Ivoire