Padmi

Data Scientist (South Delhi)

Delhi NCRPosted 1 month ago
Data Science And StatisticsJuniorFull Time; Regular
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Company Description NEMA AI delivers artificial intelligencedriven neurotechnology solutions that combine advanced EEG-based brain signal analysis with clinical intelligence. The organization focuses on early detection and continuous monitoring of cognitive decline and neurological disorders by identifying subtle changes in brain function before symptoms become severe. Its platform enables real-time, objective brain health assessment to help clinicians make faster and more accurate decisions. Through proprietary technology and clinical integration, NEMA AI strives to make brain health screening accessible, scalable, and effective across healthcare systems worldwide. Team members contribute to a mission-oriented environment at the intersection of healthcare, neuroscience, and AI. Role Description The Data Scientist will support the development and refinement of NEMA AIs brain health analytics by working with EEG and clinical data in a hybrid setting based in South Delhi, with some work from home flexibility. Day-to-day responsibilities include cleaning, organizing, and analyzing structured and unstructured datasets, building and validating statistical and machine learning models, and generating insights to improve early detection of cognitive decline and neurological disorders. The role involves collaborating with clinicians, engineers, and researchers to translate data findings into actionable product features and decision-support tools, as well as designing experiments and performance metrics to evaluate model effectiveness. The Data Scientist will also create clear visualizations and documentation to communicate results to both technical and non-technical stakeholders and may support publication, reporting, and presentation efforts related to neuroscience and AI research. Qualifications - Robust foundation in Data Science and Statistics, with the ability to design experiments, choose appropriate models, and evaluate performance. - Proficiency in Data Analytics .

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