*** Senior Data Scientist, Product Design and Enhancements - Remote

About the Role

Key Responsibilities

• 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
• 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
• Partner with research teams to surface ideas and use data analysis to produce future-oriented insights
• Act as a thought partner to management on future team direction
• Communicate complex concepts, results, models, and technologies clearly to diverse audiences

Requirements

• 3+ years of experience in data analysis and modeling
• 3+ years of programming experience with Python/Pyspark or other analytics languages
• Experience performing statistical modeling and analysis of datasets
• Intermediate level of experience in machine learning and statistics
• Intermediate level of experience in data structures and algorithms
• Experience designing and executing analyses on large data sets
• Advanced proficiency with SQL including the ability to write complex queries

Nice to Have

• 5+ years of experience in large-scale data analysis and machine learning
• 5+ years of programming experience with Python/Pyspark or other analytics languages
• Experience building or enhancing analytical products and/or solutions
• Expert level of experience in machine learning and statistics
• Experience with supervised and unsupervised learning methods for model build and deployment
• Experience in Redshift, S3, Glue, and other AWS applications
• Experience with user testing
• Advanced knowledge of Excel
• Understanding of U.S. health care domain
• Understanding of raw health care claims data, including Medicare and commercial data sets
• Proven solid written and oral communication skills

Qualifications

• Formal educational background is not explicitly specified, but experience requirements imply a need for relevant skills and knowledge

Benefits & Perks

• Competitive salary range of $89,800 to $176,700 annually
• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Remote work flexibility