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Data Scientist at QED | Warsaw

QEDWarsaw
On-site Full-time

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Experience Level

Entry Level

Qualifications

Scope of WorkDevelop and enhance regression models for spectroscopic data (e.g., PLSR, SVR, Extra Trees). Plan sampling strategies and design real-world experiments with a robust statistical approach, ensuring representativeness across various dimensions. Create comprehensive training and evaluation pipelines involving preprocessing, feature engineering, hyperparameter tuning, and effective cross-validation. Implement best practices in chemometrics for spectral data analysis (handling baseline/scatter effects, derivatives, outliers, and drift). Identify and resolve model failures and data quality issues (instrument effects, label discrepancies, dataset shifts). Design dashboards and reports for data visualization and analytics presentation. Work closely with engineering and product teams to package and deploy models effectively. Support effective communication with scientific institutes and partners that QED collaborates with. Collaborate with teams in government, healthcare, agronomy, and computer science to contribute to research papers and impact reports.

About the job

QED (https://qed.ai) is an innovative tech firm dedicated to enhancing public health and ensuring food security in Sub-Saharan Africa. Our mission involves developing cutting-edge digital infrastructure and artificial intelligence solutions that bridge the gap between humanitarian aid and scientific research. This includes in-situ nutrient analysis of crops, soils, and foods, along with national-scale surveillance of diseases such as HIV and malaria across multiple African nations. Our organization is proudly supported by various philanthropic and governmental entities, including the Gates Foundation, the Polish Ministry of Agriculture, and the Global Fund.

We are excited to invite a talented Data Scientist to our Warsaw team, focusing on ScanSpectrum (https://scanspectrum.qed.ai), a revolutionary low-cost handheld spectrophotometry kit designed to evaluate the quality parameters of food and agricultural products.

About QED

At QED, we are at the forefront of technological advancements aimed at solving critical challenges in public health and food security. Our focus on Sub-Saharan Africa allows us to make a significant impact through innovative solutions that leverage artificial intelligence and data science. Join us in our mission to improve lives through technology and research.

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