Data Science Innovator
1 month ago
We are seeking a Data Science Innovator who can leverage healthcare data to build algorithms that personalize treatments based on patient clinical and behavioral history.
Responsibilities
- Design and lead the development of various AI initiatives to improve patient health and wellness.
- Collaborate with business leaders and customers to understand pain-points and build large-scale solutions.
- Define technical architecture to productize machine-learning algorithms and take them to market through partnerships.
- Break down complex business problems into machine learning problems and design solution workflows.
- Work with the data platform and applications team to integrate data science capability or algorithms in their product/workflows.
- Develop tools for repeatable data tasks to accelerate and automate the development cycle.
- Define and execute on the quarterly roadmap.
Qualifications
- Masters in Computer Science, Computer Engineering, or other relevant fields (PhD Preferred).
- 7+ years of experience in Data Science (healthcare experience a plus).
- Strong written and spoken communication skills.
- Hands-on experience in Python, building enterprise applications, and optimization techniques.
- Deep learning techniques to build NLP/Computer vision models and state-of-the-art GenAI pipelines.
- Deploying deep learning models in production at scale with interactive improvements.
- Keen interest in research and staying updated with key advancements in AI and ML.
- Deep understanding of classical ML techniques and building training and evaluation pipelines.
- Experience with global and local model explainability using LIME, SHAP, and associated techniques.
- ML platform experience, including Databricks, Azure ML, and Sagemaker.
- Developing and deploying production-ready models.
- Knowledge of implementing an MLOps framework.
- Customer-focused attitude through conversations and documentation.
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