Senior Data Scientist
UnitedHealth Group View all jobs
- Dublin
- Permanent
- Full-time
- Lead the end-to-end design, implementation, and launch of AI/Machine Learning/Deep Learning models that deliver measurable value to the Pharmacy product suite
- Evaluate and demonstrate the value of these models to business leaders through case studies and presentations
- Take ownership of the EDA, ETL, research and development of models, then deployment and maintenance of these models after being put into production
- Identify the appropriate approach for the problem at hand, be it Deep Learning, traditional ML, or LLM-based models
- Provide strategic/technical direction and thought leadership around AI/Machine Learning and become a Subject Matter Expert in AI/ML within the Optum Insights business
- Identify drivers of patient patterns & behaviors, leveraging Data Science techniques to uncover hidden insights and improve our ability to serve patients effectively
- Understand our business and strategy in order to identify and champion opportunities for Data Science, Machine Learning and AI projects. Communicate technical concepts to non-technical stakeholders and build consensus
- Manage multiple priorities and projects, while meeting deadlines
- Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
- Stay updated and informed on internal and external technological advances in AI/ML that can be applied within the Optum Insight business
- Mentor and provide technical leadership to junior Data Scientists and other team members
- Appreciate ethical and regulatory considerations in data science and apply them in practice
- Bachelor's degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Proven experience working with Big Data, ability to handle millions of rows of data through database technology, either on-prem or cloud
- Proven extensive experience in Deep Learning, AI or Machine Learning bringing projects from PoC to Production
- Demonstrated proficiency in open-source frameworks such as PyTorch, TensorFlow, Keras, sklearn and others. Working knowledge of applying LLMs in code/ Practical experience using LLM APIs
- Master's degree in a related field
- Proven ability to take research whitepapers to production
- Proven experience working on clouds platforms, namely Snowflake, Azure ML and/or Databricks
- Proven previous experience of working with healthcare data (pharmacy, claims, clinical records, authorization, provider contracts etc.)
- Proven success in bringing ideas from conception to production
- Proven evidence of solid client management and presentation experience
- Possesses a natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
- Ability to communicate effectively and concisely with team members, colleagues from other areas of the business and external clients
- Willingness to contribute positively to the culture of the team and wider organization