Data Scientist

Data Scientist Brentwood, TN Job Details 14 hours ago Benefits Profit sharing Health insurance Dental insurance 401(k) Paid time off Vision insurance Qualifications Performance dashboard reports Collaborate with healthcare professionals Looker Dashboard development Stakeholder engagement Power BI Data visualization software proficiency Data Integration (Data management) Azure Statistics Computer Science Achieving HIPAA compliance Assisted living Bachelor's degree in statistics 5 years Regulatory compliance R Regulatory reporting HIPAA Data reporting Google Cloud Platform Scalable systems Improving operational efficiency Tableau Master's degree SQL Data quality management

EMR/EHR AWS

Bachelor's degree Model deployment Feature extraction Statistical modeling Centers for Medicare and Medicaid Services (CMS) Mentoring Forecasting Scalability Predictive analytics Data validation Implementing machine learning algorithms Benchmarking Senior level AI Bachelor's degree in computer science Data-driven decision making Communication skills Staffing management Technical Proficiency Python Stakeholder relationship building Cross-functional communication Bachelor's degree in data science Data Science Stakeholder management Database software proficiency Full Job Description Vitality Living is a dynamic, hospitality-based senior housing owner and operator dedicated to delivering world-class service. We cultivate a culture that rewards initiative, values collaboration, and empowers team members to exceed expectations. Our success is rooted in hiring exceptional individuals who share our commitment to purpose-driven service, operational excellence, and continuous improvement. We are seeking a hands-on Data Scientist to build and deploy data-driven solutions across healthcare and senior housing operations. This role is responsible for developing, implementing, and maintaining statistical models, machine learning, and applied AI solutions to improve resident outcomes, optimize staffing and occupancy, enhance quality metrics, and support regulatory compliance. The ideal candidate combines deep technical expertise with healthcare domain knowledge and thrives in a build-and-execute environment.

Hybrid Work Schedule:

2 days remote and 3 days in-office at our Support Office in Brentwood, TN.

Responsibilities:

Analyze and validate clinical, operational, and financial data using advanced analytics and modeling techniques Design, build, deploy, and maintain predictive and prescriptive models related to: Patient/resident outcomes (e.g., falls, readmissions, length of stay) Occupancy, census forecasting, and acuity trends Staffing optimization and labor cost management Quality measures and performance benchmarks Apply statistical methods, machine learning, and AI techniques to develop production-ready solutions Work within enterprise data warehouse environments to source, transform, and structure data for analytical and modeling purposes Write production-quality code in Python or R for data pipelines, feature engineering, and model development Partner with IT and data engineering teams to ensure scalable and reliable data pipelines and model deployment Integrate and analyze data from multiple systems, including care management, CRM, procurement, and operational platforms Build dashboards and reporting tools to support operational and clinical decision-making Translate analytical outputs into clear, actionable recommendations Ensure data integrity, privacy, and compliance with healthcare regulations (e.g., HIPAA) Collaborate with clinicians, administrators, IT, and business teams to implement solutions Mentor junior analysts or data scientists as needed

Required Qualifications:

Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, or a related quantitative field 5+ years of hands-on experience in data science, including building and deploying models in production environments Strong proficiency in Python or R for data analysis, model development, and production code Advanced SQL skills and experience working with enterprise data warehouses and large-scale datasets, including data extraction, transformation, and performance-aware querying Solid foundation in statistics, machine learning, applied AI, and predictive modeling Experience working with sensitive or regulated healthcare data

Preferred Qualifications:

Master's degree in a quantitative or healthcare-related field Experience in healthcare, senior housing, assisted living, or skilled nursing environments Familiarity with healthcare data systems and standards (EHR/EMR, claims data, MDS, CMS quality metrics) Experience with cloud platforms (AWS, Azure, or GCP) Experience with data visualization tools (Tableau, Power BI, Looker) Understanding of healthcare quality measures, regulatory reporting, and reimbursement models

Key Skills & Competencies:

Strong healthcare or senior living domain knowledge Advanced analytical and problem-solving capabilities Excellent communication and stakeholder management skills Ability to work effectively in cross-functional environments High attention to data accuracy, privacy, and ethical standards Impact of the

Role:

Improve quality of care and resident outcomes Support regulatory compliance and reporting accuracy Optimize staffing, occupancy, and cost efficiency Enable leadership to make informed, data-driven decisions

Our Benefits Include:

Medical, Dental, and Vision Insurance Generous PTO Plan Company Profit Sharing Bonus 401K If you want to make an impact and join a growing organization, apply today to start the conversation! Vitality Living is an equal opportunity employer where you can Be You, Be Vibrant, and Belong.