Our Benefits:
Our team members enjoy a robust benefits package including:
Competitive compensation
Paid time off for vacations, holidays, and illness
Comprehensive health insurance (medical, dental, vision, prescription)
401(k) retirement savings plan
Education support and student loan assistance
Life and disability insurance
Flexible spending account
Job Summary
This role is responsible for aligning the enterprise talent management strategy
with operational data; building visualizations, statistical analyses, and
predictive models to track progress and uncover areas for improvement. From
forecasting nurse attrition to optimizing recruitment spend and ensuring pay
equity, this role will use data sourced from Oracle HCM and other operational
and clinical systems to drive the delivery of a best-in-class healthcare
workforce.
Essential Functions
Collaborate with cross-functional teams including Human Resources (HR) and
other operational leaders, data scientists, and software engineers to
identify data-driven opportunities for enhancing human capital and
operational processes.
Utilize cloud-based technologies, such as Google Cloud Platform (GCP), for
scalable data processing and analysis.
Serve as the "Data Translator" for HR leadership, converting high-level
people strategies (e.g., "reducing turnover by 15%") into specific analytical
projects and KPIs.
Utilize Python programming and associated libraries such as PyTorch, Keras,
Pandas and NumPY to create, train, test and implement meaningful data science
models.
Create time-series models to predict future staffing needs based on seasonal
patient volume, historical turnover, and local labor market trends
Develop and deploy machine learning models to identify "flight risk"
employees, allowing leadership to intervene before high-value talent exits
the organization.
Lead the analysis of multifactorial relationships, including those between
premium pay (travelers/overtime) and employee burnout to provide
recommendations on sustainable staffing and retainment models.
Collaborate with healthcare professionals and domain experts to understand
operational needs and design data-driven solutions.
Design and conduct experiments, interpret results, and communicate findings
to both technical and non-technical stakeholders
Qualifications
Bachelor's Degree in Data Science, Computer Science, Bioinformatics, or a
related field required
Master's Degree preferred
Proficiency in Python programming and associated libraries.
Experience with cloud-based platforms such as Google Cloud Platform (GCP) for
data storage, processing, and deployment.
3–5 years of experience in People Analytics or HR Data Science, preferably
within a large, complex organization (5,000+ employees).
Proven experience extracting and manipulating data from Oracle HCM Cloud,
Workday, or SAP SuccessFactors.
Understanding of core HR functions: Talent Acquisition, Total Rewards,
Employee Relations, and Learning & Development.
Deep understanding of data privacy laws (GDPR, CCPA) and the ethical
implications of using AI in the employee lifecycle
Excellent communication and presentation skills with the ability to translate
technical concepts to non-technical audiences.
Knowledge, Skills and Abilities
Advanced knowledge of machine learning techniques and statistical modeling
approaches.
Proficiency in Python programming and associated libraries, including
Scikit-learn, Keras, Pandas, NumPy, PyTorch, TensorFlow, and data
visualization tools.
Experience developing and implementing natural language processing (NLP)
solutions using tools such as spaCy, BERT, NLTK, or similar frameworks.
Knowledge of cloud computing platforms and experience deploying machine
learning models in production environments.
Familiarity with containerization technologies such as Docker and Kubernetes.
Ability to analyze complex clinical datasets and translate findings into
actionable insights.
Strong problem-solving skills with the ability to work independently and
collaboratively in a fast-paced environment.
Excellent communication and presentation skills, with the ability to
translate technical concepts to non-technical audiences.
This is a fully remote opportunity
This position is not eligible for immigration sponsorship now or in the future.
Applicants must be authorized to work in the U.S. for any employer.
We know it’s not just about finding a job. It’s about finding a place where you
are respected, valued and where your work is purposeful and fulfilling. A place
where your talent is recognized, professional development is encouraged and
career advancement is possible.
Community Health Systems is one of the nation's leading healthcare providers.
With healthcare delivery systems in 36 distinct markets across 14 states, CHS
operates 69 affiliated hospitals with more than 10,000 beds and approximately
1,000 other sites of care, including physician practices, urgent care centers,
freestanding emergency departments, imaging centers, cancer centers, and
ambulatory surgery centers.