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Data Scientist
Posted about 2 months agoViewed
💎 Seniority level: Junior, 1+ years
🔍 Industry: Medical Imaging
🏢 Company: HOPPR👥 11-50Artificial Intelligence (AI)MedicalInformation TechnologyHealth CareHealth DiagnosticsSoftware
🗣️ Languages: English
⏳ Experience: 1+ years
Requirements:
- Master’s or PhD in Computer Science, Engineering, Data Science, or a related field.
- 1+ years of professional data science experience, with a proven ability to train, evaluate, and deploy machine learning models, including large language models.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow), as well as experience with data manipulation tools like SQL, pandas, or NumPy.
- Familiarity with ML Ops practices and deploying models into production pipelines (preferred).
- Knowledge of healthcare data, such as radiology images or EHRs, is a plus.
Responsibilities:
- Design and develop robust pipelines using advanced methods with large language models (LLMs) to extract features and label data from unstructured datasets
- Create and implement rigorous evaluation metrics to assess feature extraction processes, ensuring continuous improvement aligned with clinical and product goals.
- Enhance and maintain scalable, reproducible data science infrastructure to support agile development and secure operations across partitioned client environments.
- Design and implement MLOps practices to streamline, scale, and automate machine learning workflows.
- Manipulate, analyze, and manage large-scale datasets using Python, SQL, and other tools.
- Work closely with engineers, clinicians, and product teams to ensure data solutions are aligned with user needs and drive meaningful outcomes.
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