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الوصف الوظيفي 1. Developing and implementing new modeling approaches, applying a diverse range of machine learning and statistical techniques to heterogenous healthcare-related datasets; 2. Feature engineering and model tuning to extract meaningful signals from data; 3. Experimenting to evaluate and improve modeling results; 4. Visualize and document the model results for the broader team; 5. Write general, reusable code for your team to build upon and integrate into more complex models and repeatable analysis. المهارات 1. M.S. or Ph.D. in Computer Science, Statistics, or related field; 2. 5+ years of experience in applied machine learning; 3. Publication record or product implementation record that demonstrates creativity and curiosity in modeling; 4. Experience with one or more deep learning libraries such as TensorFlow or PyTorch on data wrangling, analysis, and modeling; 5. Strong understanding of statistical analysis, probability theory, design of experiments and machine learning. Strong problem solving and verbal and written communication skills; 6. Ability to learn and adapt with new technologies, concepts, and different areas in data science using scientific publications; 7. Experience in translating analysis results into business recommendations and business questions into an analysis framework. Preferred qualifications: 1. Knowledge of Docker and other deployment tools; 2. Understanding of continuous development and continuous integration tools; 3. Experience with privacy preserving techniques such as federated learning; 4. Experience working with healthcare data such as EHR data, medical imaging or genetic data; willingness to learn is a must تفاصيل الوظيفة https://www.bayt.com/ar/uae/jobs/data-scientist-4175198/ |
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