高级数据科学家 - 远程
Senior Data Scientist - Remote
我们的福利：
我们的团队成员享受全面的福利包，包括：
- 具有竞争力的薪酬
- 带薪休假、节假日和病假
- 综合健康保险（医疗、牙科、视力、处方药）
- 401(k) 退休储蓄计划
- 教育支持和学生贷款援助
- 人寿和残疾保险
- 灵活支出账户
职位概述
作为高级数据科学家，您将在指定的项目和服务线中担任高效的技术专家和内部顾问。以积极、解决问题的心态，该职位负责设计、开发和部署先进的机器学习模型和统计解决方案，以改善医疗结果并优化运营表现。您将推动复杂的分析，记录部门关键绩效指标（KPI），并与跨职能的临床和技术领导紧密合作，将原始数据转化为可扩展、自动化、高影响力的解决方案，以符合组织的战略目标。
主要职责
- 高级分析与洞察：独立进行临床和运营数据集的高级分析，将复杂发现转化为对高级临床和高管领导有行动价值的见解。
- 机器学习与建模：评估并选择合适的数据，开发、测试和部署机器学习算法，以预测多个服务领域的高价值临床和运营结果。
- 自然语言处理与文本解决方案：利用自然语言处理（NLP）技术与框架（如 BERT、spaCy、NLTK 和大型语言模型）开发基于文本的解决方案，以优化以文档为中心的工作流程。
- 跨职能协作：与医疗专业人员、领域专家和 IT/数据工程团队合作，获取原始数据，理解运营需求，并构建生产线式的数据管道和可视化工具。
- 云基础设施：利用基于云的技术，特别是 Google Cloud Platform（GCP），实现可扩展的数据存储、处理、部署和流程自动化。
- 实验与执行：设计并执行实验，解释结果，并向技术和非技术利益相关者清晰地展示指标。
- 合规与标准：保持定期、可靠的出勤率，严格遵守所有组织政策和标准操作程序。履行其他职责
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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.
Originally posted on Himalayas