Unlock the Power of Data Science
The ideal candidate will possess strong analytical and critical thinking skills, as well as a passion for innovation. This individual will partner with leaders on the Quantitative Insights team to identify opportunities for methodological improvement, independently develop and iterate on complex models, and ensure ongoing quality of our analytical offerings.
This role offers the opportunity to work on cutting-edge projects, leveraging AI/ML methods to develop scalable analytical tools and research. The successful candidate will analyze large healthcare datasets, build datasets by connecting tables from across sources, and collaborate with research teams to surface ideas and produce future-oriented insights.
Key Responsibilities:
• 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, and 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, and build datasets by connecting tables from across sources.
Requirements:
• 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
Preferred Qualifications:
• 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
Join a Team That Drives Innovation
As a key member of the Quantitative Insights team, you will have the opportunity to work on high-impact projects that drive business growth and improve patient outcomes. We offer a dynamic and supportive work environment, with a focus on collaboration and continuous learning.
Benefits include flexible work arrangements, career development opportunities, and a comprehensive benefits package. If you are a motivated and talented individual who is passionate about data science, we encourage you to apply for this exciting opportunity.