QED.ai

Data Scientist – Warsaw

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NieokreśloneOn-site·WarszawaFull-time

#371125·Dodano 8 miesięcy temu·2

Źródło: QED.ai

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Tech Stack / Keywords

AISecurityData ScienceGit Python CI/CDTestingMachine Learning

Firma i stanowisko

QED is a tech company focused on public health and food security in Sub-Saharan Africa. They build digital infrastructure and AI for aid and scientific inquiry, including nutrient analysis of crops, soils, and foods, and surveillance of HIV and malaria at national scale in multiple African countries. Their funding comes from philanthropic and governmental organizations such as the Gates Foundation, the Polish Ministry of Agriculture, EU funding programmes, and the Global Fund.

Wymagania

Technical:

Proficiency with core ideas in statistics
Formal academic studies in statistics, data science, or software engineering with practical experience 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 with traditional statistical techniques (regression, hypothesis testing, survey design, time series, RCTs) and modern machine learning methods (decision trees, boosting, neural networks)
Tenacity and curiosity to acquire domain expertise in biology, chemistry, agronomy

General:

Working proficiency (≥C1) in English speaking and reading, capable of typing ≥45 words per minute
Logical reasoning and clear oral and written communication
Willingness and interest in working with people from other cultures with emotional resilience and social intelligence
Willingness to engage hands-on with work
Genuine care about the work performed

Nice to have:

Prior experience with spectroscopy (Vis/NIR/MIR) and chemometrics
Understanding of spectroscopy physics
Experience with calibration transfer, drift monitoring, or multi-instrument datasets
Domain familiarity with food chemistry, agriculture, grain quality, soil/plant analysis, lab reference methods
Interest in sustainable development goals related to agriculture, climate change, public health, and assisting developing countries

Obowiązki

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
Design robust training and evaluation pipelines including preprocessing, feature engineering, hyperparameter tuning, and cross-validation
Apply chemometrics best practices to spectral data (baseline/scatter effects, derivatives, outliers, drift)
Diagnose model failures and data issues and propose fixes
Construct dashboards and reports to present and visualize data analytics
Collaborate with engineering and product teams to package and deploy models
Assist in communication with scientific institutes, companies, and researchers
Collaborate with governmental, medical, agronomic, and computer science teams on research papers and impact reports

QED.ai

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