Community Health Systems Logo

Community Health Systems

Senior Data Scientist - Remote

Posted 15 Days Ago
In-Office or Remote
Hiring Remotely in United States
Senior level
In-Office or Remote
Hiring Remotely in United States
Senior level
Leads advanced analytics, machine learning, statistical modeling, and NLP solution development using healthcare and operational data. Builds scalable pipelines, visualizations, and deployed models on Google Cloud Platform, translates findings for clinical and executive leaders, designs experiments, and establishes performance metrics. Requires collaboration across clinical, technical, and data engineering teams, with occasional on-site travel for executive presentations.
The summary above was generated by AI

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.

Similar Jobs

4 Days Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop and deploy machine learning and data science solutions for healthcare payment integrity. Responsibilities include data preparation, feature engineering, model development, evaluation, deployment, monitoring, LLM and NLP application, distributed data processing, and collaboration with engineering, product, and business teams. The role requires communicating insights, evaluating emerging AI technologies, and delivering scalable solutions that improve claims payment accuracy.
Top Skills: SparkAWSAzureFoundation ModelsGCPGitHugging Face TransformersLangchainLarge Language ModelsNlpOpenai ApisPythonPyTorchRetrieval-Augmented GenerationScikit-LearnSpark MlSQLTensorFlow
5 Days Ago
Remote
United States
192K-228K Annually
Senior level
192K-228K Annually
Senior level
Healthtech • Social Impact • Software • Telehealth
Own product analytics for a healthcare platform by translating business questions into research plans, uncovering insights, modeling feature impacts, defining success criteria, and leading A/B testing. Partner with Product, Data Engineering, Finance, Clinical, and Operations teams to influence roadmap decisions, improve provider experience and quality, and optimize marketplace performance.
Top Skills: A/B TestingAirflowDbtHexLookerPythonRTableau
10 Days Ago
In-Office or Remote
92K-164K Annually
Mid level
92K-164K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the strategy, architecture, development, deployment, monitoring, and improvement of applied AI, NLP, LLM, voice analytics, and automation solutions. Translates ambiguous business needs into scalable analytical architectures and production systems, establishes evaluation and governance standards, oversees data pipelines and model operations, troubleshoots complex issues, presents recommendations to stakeholders, shapes technical roadmaps, and mentors data scientists.
Top Skills: EmbeddingsGenerative AiGisLarge Language ModelsMachine LearningMicrosoft Sql ServerNatural Language ProcessingPower BIPythonRetrieval-Augmented GenerationSemantic SearchSnowflakeSQLTableau

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account