
Senior Data Scientist, Product Innovation
- Dublin
- Permanent
- Full-time
- Product innovation:
- Identify opportunities for improvement in analytical tools and research methodologies
- Serve as an expert resource to Advisory Board researchers, data analysts, and engineers
- Scope and project manage work to deliver on tool enhancements and research initiatives
- Partner with engineers and developers to build analyses into scalable tools and data pipelines
- Prototype new products and solutions
- Maintain familiarity with the state-of-the-art around big data analytics and associated technologies and techniques
- Data analysis and modeling:
- Use AI/ML methods to develop scalable analytical tools and research
- Develop numerical/statistical programs to support analytical and research work
- Analyze large healthcare datasets (e.g. claims, EHR, other)
- Build datasets by connecting tables from across sources
- Collaboration
- Partner with research teams to surface ideas and use data analysis to produce future-oriented insights
- Act as thought partner to management team on future direction of team and role
- Be an independent thinker and advocate of data science methods and applications
- Build and maintain relationships with Optum and UHG colleagues as teams partners on projects and analysis
- Ability to articulate and paint a vision, with strong communication and presentation skills, as well as strengths in translating highly complex concepts, results, models and technologies in ways that can be understood by a variety of audiences
- Bachelor's degree (or higher) in a relevant subject OR Equivalent experience
- Proven experience in data analysis and modeling
- Ability to perform statistical modelling and analysis of datasets
- Ability to work on AI/ML use cases
- Background in machine learning and statistics
- Foundation in data structures and algorithms
- Extensive programming experience with Python/Pyspark or other analytics languages
- Ability to write complex SQL queries
- Experience designing and executing analyses on large data sets
- Experience in large-scale data analysis and machine learning
- Experience with supervised and unsupervised learning methods for model build and deployment
- Master of Science (or higher) in computer science, Engineering, Statistics, or related field
- Experience in Redshift, S3, Glue, and other AWS applications
- Understanding of raw health care claims data, including Medicare and commercial data sets
- Experience building analytical products
- Experience with user testing
- Demonstrated depth of health care knowledge and expertise
- Written and oral communication skills