
Senior Data Scientist
1 week ago
- Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges
- Conduct comprehensive data analysis and interpret complex healthcare data to provide actionable insights
- Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions
- Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis
- Optimize and enhance existing machine learning models for better performance and scalability in healthcare settings
- Develop and integrate generative AI models and large language models (LLMs) for tasks such as medical text generation, data augmentation, and synthetic data generation
- Stay updated with the latest advancements in AI/ML technologies and integrate them into ongoing healthcare projects
- Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and improvement
- Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations
- Ensure data integrity, accuracy, and security, complying with healthcare regulations such as HIPAA
- Develop and maintain documentation for models, processes, and systems
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- Bachelor's degree or equivalent experience
- Solid experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
- Proficiency in programming languages such as Python, R, Java, or Scala
- Deep understanding of statistical analysis, data mining, and data visualization techniques
UnitedHealth Group
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