Senior Data Scientist

About the Role

Key Responsibilities

• Use programming tools to translate business requirements into analytics, models, and applications.
• Generate hypotheses and analyze data to test and interpret results.
• Design and develop data models using machine learning and artificial intelligence tools.
• Identify improvement opportunities in data reporting, analytics, and processing tools, and collaborate with Vizient Technology staff to implement enhancements.
• Collaborate with leaders and clinicians to build analytics and informatics acumen across the organization.
• Communicate findings from exploratory and predictive data analysis to administrative and clinical leaders for specific projects.
• Leverage machine learning, natural language processing, or other statistical approaches to create, troubleshoot, and implement single platform solutions.
• Demonstrate functionally diverse utilization of relevant core programming tools with R, Python, and SQL.
• Apply task-specific mindset to address data science insights, breaking down aspects of solutions to define scope and make decisions supporting data science projects.
• Create clear, concise, and organized communication materials including policies and procedures, guidelines, presentations, and messages.
• Use advanced analytical models and tools to analyze and understand big data sets.
• Identify and logically structure key issues and findings.

Requirements

• Advanced degree preferred in applied math, statistics, computer science, econometrics, or related field.
• 5 or more years of experience managing large disparate data sets and using quantitative and qualitative analysis to draw meaningful and valid insights.
• 3 or more years of programming experience using Python and R.
• Expertise managing and analyzing large payer-sourced and provider-sourced claims data.
• Knowledge of encounter and care delivery logics, geospatial logic and proxies, and payment methodologies.
• Experience effectively communicating and presenting data to a variety of audiences.
• Experience in developing, implementing, and validating synthetic datasets for analysis.
• Familiar with cloud computing environments, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform highly preferred.
• Familiar with health interoperability data standards such as HL7 and FHIR highly preferred.
• Experience working with health care administrative claims data or electronic medical record data tools highly preferred.
• Experience with MS SQL and with APIs preferred.

Nice to Have

• Familiar with cloud computing environments such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• Familiar with health interoperability data standards such as HL7 and FHIR.
• Experience working with health care administrative claims data or electronic medical record data tools.
• Experience with MS SQL and with APIs.

Qualifications

• Advanced degree preferred in applied math, statistics, computer science, econometrics, or related field.
• 5 or more years of experience managing large disparate data sets and using quantitative and qualitative analysis.
• 3 or more years of programming experience using Python and R.

Benefits & Perks

• The current salary range for this role is $102,400.00 to $179,000.00.
• This position is incentive eligible.
• Vizient has a comprehensive benefits plan.