Senior Data Scientist - Remote

Community Health Systems; Franklin (TN); Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Paid time off for vacations, holidays,

Comprehensive health insurance

401(k) retirement savings plan

Education support and student loan

Life and disability insurance

Flexible spending account

Job summary

Community Health Systems is seeking a Senior Data Scientist to serve as a high-efficiency technical expert and internal consultant across projects, leading the design, development, and deployment of advanced machine learning models to transform healthcare outcomes and optimize operational performance.

You will drive complex analyses, document departmental KPIs, and partner closely with cross-functional clinical and technical leaders to translate raw data into scalable, automated, high-impact

Qualifications

• Bachelor's degree in Data Science, Computer Science, Bioinformatics, or a related field required.
• Master's Degree preferred.
• 5-7 years of experience in healthcare data engineering and analytics in a clinical or biomedical research setting required.
• Minimum of 1 year of experience in a large healthcare system, hospital, or payer environment.
• Ability to travel on-site 2 to 4 times per year for executive leadership presentations.

Responsibilities

• Advanced analysis of clinical and operational datasets to generate actionable insights for leadership.
• Develop, test, and deploy ML algorithms predicting high-value clinical and operational outcomes.
• Build NLP/text solutions to optimize documentation-focused workflows.
• Source data, build pipelines, and create executive dashboards and visualizations.
• Leverage Google Cloud Platform for storage, processing, deployment and automation.
• Design experiments, interpret results, and present metrics to technical and non-technical stakeholders.
• Maintain adherence to organizational policies and standard operating procedures.

Skills

GCP

Python

PyTorch

Keras

Pandas

NumPy

Scikit-learn

TensorFlow

NLP

Data Visualization

Communication

Education

Bachelor's degree in Data Science/CS/Bioinformatics or related field

Master's degree preferred

Tools

Tableau

Power BI

Looker

Matplotlib

Seaborn

Plotly

spaCy

BERT

NLTK

LLMs

Job description

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

As a Senior Data Scientist, you will serve as a high-efficiency technical expert and internal consultant across assigned projects and service lines. Adopting a proactive, solution-oriented mindset, this role leads the design, development, and deployment of advanced machine learning models and statistical solutions to transform healthcare outcomes and optimize operational performance. You will drive complex analyses, document departmental Key Performance Indicators (KPIs), and partner closely with cross-functional clinical and technical leaders to translate raw data into scalable, automated, high-impact solutions that align with strategic organizational objectives.

Essential Functions

• Advanced Analytics & Insights: Independently perform advanced analysis of clinical and operational datasets, translating complex findings into actionable insights for senior clinical and executive leadership.
• Machine Learning & Modeling: Assess and select appropriate data fit to develop, test, and deploy machine learning algorithms that predict high-value clinical and operational outcomes across multiple service areas.
• NLP & Text Solutions: Utilize natural language processing (NLP) techniques and frameworks (such as BERT, spaCy, NLTK, and Large Language Models) to develop text-based solutions that optimize documentation-focused workflows.
• Cross-Functional Collaboration: Partner with healthcare professionals, domain experts, and IT/data engineering teams to source raw data, understand operational needs, and build production-line style data pipelines and visualizations.
• Cloud Infrastructure: Leverage cloud-based technologies, specifically Google Cloud Platform (GCP), for scalable data storage, processing, deployment, and process automation.
• Experimentation & Execution: Design and execute experiments, interpret results, and present metrics clearly to both technical and non-technical stakeholders.
• Compliance & Standards: Maintain regular, reliable attendance and adhere strictly to all organizational policies and standard operating procedures. Performs other duties as assigned.

Qualifications

• Bachelor's Degree in Data Science, Computer Science, Bioinformatics, or a related field required.
• Master's Degree preferred.
• 5-7 years of experience in healthcare data engineering and analytics in a clinical or biomedical research setting required.
• Minimum of 1 year of experience working within a large healthcare system, hospital, or payer environment.
• Ability to travel on-site 2 to 4 times per year for executive leadership presentations.

Knowledge, Skills and Abilities

• Cloud Platforms: Strong proficiency with Google Cloud Platform (GCP) for end-to-end data processing, storage, and algorithm deployment.
• Programming & Libraries: Advanced proficiency in Python and core data science libraries, including PyTorch, Keras, Pandas, NumPy, Scikit-learn, and TensorFlow.
• Natural Language Processing: Practical experience building NLP solutions with frameworks like spaCy, BERT, NLTK, or modern LLMs.
• Data Visualization: Expertise with modern visualization tools (e.g., Tableau, Power BI, Looker) and programmatic libraries (Matplotlib, Seaborn, Plotly) to build interactive executive dashboards and operational tracking tools.
• Professional Mindset: Strong problem-solving capabilities, an internal-consultant drive, and the ability to work independently to establish metrics with high efficiency.
• Communication: Outstanding presentation skills with a mission-driven approach to translating technical concepts to executive leadership.

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.

Equal Employment Opportunity

This organization does not discriminate in any way to deprive any person of employment opportunities or otherwise adversely affect the status of any employee because of race, color, religion, sex, sexual orientation, genetic information, gender identity, national origin, age, disability, citizenship, veteran status, or military or uniformed services, in accordance with all applicable governmental laws and regulations. In addition, the facility complies with all applicable federal, state and local laws governing nondiscrimination in employment. This applies to all terms and conditions of employment including, but not limited to: hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. If you are an applicant with a mental or physical disability who needs a reasonable accommodation for any part of the application or hiring process, contact the director of Human Resources at the facility to which you are seeking employment; Simply go to http://www.chs.net/serving-communities/locations/ to obtain the main telephone number of the facility and ask for Human Resources.