Vizient, Inc · 21 hours ago
Senior Data Scientist
Chicago, IL
Full-time
Hybrid
Senior Level
$143K/yr - $179K/yr
5+ years expVizient, Inc is committed to fostering an inclusive environment for its employees. They are seeking a Senior Data Scientist to provide analytic solutions that drive improvements in clinical, operational, and economic outcomes for member hospitals, utilizing advanced statistical methods and programming skills.
AnalyticsHealth CareSupply Chain Management
Responsibilities
Provide statistically and methodologically sound analytic solutions to ensure validity regarding hypothesis evaluation, study design/methodology development and findings to drive improvements in clinical, operational, and economic outcomes for member hospitals
Develop computer programs using Python and perform necessary manipulations to import complex external data into Python or export output to other databases/files
Work with technology team and other stakeholders on setting reasonable expectations regarding data formatting and turn-around times
Provide computationally complex analysis using statistical software for leadership team to identify critical issues/questions around clinical performance improvement data
Generate summary tables, data listings, graphs and derived datasets as specified in statistical analysis plan
Generate outputs and reports to support data science and methodological workflows
Conduct statistical inference analysis and testing to validate develop and evaluate data driven hypotheses, accuracy and results
Develop data science solutions and insights across multiple projects, and single or multiple domains, with minimal guidance
Communicate findings from exploratory and predictive data analysis to administrative and clinical leaders for multiple projects
Demonstrate skills in statistical design, efficiency, and sophisticated problem solving for multiple projects
Provide guidance to other data scientists in the design of data science insights
Demonstrate expertise in core data assessment steps (e.g., data discovery, structuring, cleaning, enrichment, and validation) and publish insights across multiple data sets
Independently leverage machine learning, natural language processing, or other statistical approaches to create, trouble shoot, and implement single platform solutions
Make autonomous decisions to operationalize data modeling, exploratory data analysis, inferential statistics machine learning model development, project deployment, and visualization based on specified project goals or design objectives
Demonstrate expertise in relevant core programming tools (e.g., R, Python, SAS, SQL, MATLAB, JAVA)
Utilizes expertise with relevant data platforms (e.g., Tableau, Apache Spark, Azure Data Bricks, Hadoop)
Execute low to medium complex (e.g., merging data sets from disparate sources, normalizing and standardizing highly irregular or inconsistent data) technical code revisions independently or for select portion of projects
Apply solutions-oriented mindset to project-specific goals and objectives
Make autonomous project-specific decisions supporting data science deliverables within
Qualification
Required
Master's degree in Applied Data Science or a directly related field of study
5 years of experience to include all of the following areas: (1) building SAS/Python based ETL Pipelines and Analytic Reports; (2) reengineering collections and forbearance data architecture to facilitate loss mitigation reporting to leadership team and stakeholders; (3) building scalable applications and data pipelines for data analytics and internal risk assessment teams; (4) performing statistical analysis and data validations on adhoc basis for various business user requirements; (5) building datasets and generating analytic reports for different business process analysis and validations; (6) utilizing SAS Procedures including Proc SQL and Proc Sort for analyzing and reporting data; (7) building new ETL Pipelines and enhancing existing pipelines for customizing and streamlining data from multiple sources using shell scripting, SAS and Python; and (8) Data Analysis and Data Mapping for ETL process using SAS, Python, and shell scripting
2 years experience in developing computer programs using Python and performing the necessary manipulations to import complex external data into Python or export output to other databases/files
2 years experience in working with the technology team and other stakeholders on setting reasonable expectations regarding data formatting and turn-around times
2 years experience in generating summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan
2 years experience in generating outputs and reports to support data science and methodological workflows
2 years experience in building machine learning pipelines and/or AI solutions
Benefits
Comprehensive benefits plan
Company
Vizient, Inc
Vizient, Inc., the nation’s largest provider-driven healthcare performance improvement company, provides solutions and services to more than two-thirds of the nation’s acute care providers and more than one-third of ambulatory providers.
1001-5000 employees
H1B Sponsorship
Vizient, Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (39)
2024 (40)
2023 (35)
2022 (51)
2021 (34)
2020 (38)
Funding
Current Stage
Public CompanyTotal Funding
unknown2007-12-13IPO
Leadership Team
John A. Bardis
Founder & CEO
Oscar Pacheco
Vice President, KP Non-Medical Service Line
Recent News
2026-01-15
2026-01-13
Company data provided by crunchbase