Data Scientist Supply Chain Operations

Job Summary and Responsibilities

Primarily responsible for developing advanced statistical models that will provide insight to Supply Chain leaders and leaders from other stakeholder groups in an effort to optimize resources to reduce cost for CHI. Works with analysts in other functional areas to provide comprehensive models and recommendations for data governance standards. Assess various supply chain operations costs in order to identify and shape cost reduction initiatives.

Technical Skill Set

• Data Preprocessing: Clean, transform, and prepare data for development and analysis within a data warehouse composed of supply chain information. Ensure data quality, integrity, and consistency.

• Development: Use Python and SQL to build and maintain automation processes, such as RPA and email bots, utilizing tools like relay servers and workflow schedulers for internal use by a wide range of supply chain professionals.

• Data Integration: Design, code, and maintain data pipelines that bring together disparate healthcare data sources, including Electronic Health Records (EHR) systems, Enterprise Resource Planning (ERP) systems, and external data feeds from SFTP servers and APIs with a heavy emphasis on cloud-based solutions. Ensure that data is collected, stored, and processed efficiently for analysis.

• Data Analysis: Analyze large and complex healthcare datasets to identify patterns, trends, and anomalies. Use statistical techniques to draw meaningful conclusions from data.

• Error Handling: Provide advanced technical support on application performance issues, determine root causes, and implement system fixes and improvements.

• Data Architecture: Build data storage, data warehousing, cloud integration, and data modeling strategies to support data analytic initiatives effectively.

• Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights to non-technical stakeholders.

• Machine Learning: Develop and implement predictive models, classification algorithms, and other machine learning techniques to solve supply chain oriented problems, such as automating supply chain processes and resource allocation optimization.

Development Practices

• Coding Standards: Write code that meets internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review.

• Agile: Work in an agile environment across developers, analysts, project managers, leaders, and stakeholders utilizing Azure DevOps or a similar project management system.

• Pair Programming: Actively participate in pair programming sessions with fellow data scientists involving a driver, a person who writes the code, and a navigator, a person who reviews each line of code.

• Dynamic Environment: Function independently on multiple programming projects with competing priorities and adapt quickly to new ideas and disparate data environments like Oracle and Redshift.

• Data Security and Compliance: Ensure that all data handling and analysis comply with relevant healthcare regulations and protect patient privacy.

• Continuous Improvement/Continuous Development (CI/CD): Adopts a continuous improvement culture seeking to make good processes better and to elevate those that need work.

• Research and Development: Stay up-to-date with the latest advancements in healthcare analytics and data science, and actively contribute to the development of innovative solutions.

Collaboration and Communication

• Collaboration: Collaborate with cross-functional teams, such as, data engineers, SMEs, and IT professionals, to understand data requirements, business objectives, and supply chain workflows.

• Stakeholder Interaction: Work collaboratively with various stakeholders of differing backgrounds. Being able to explain complex technical concepts in simple terms.

• Presentation: Story-telling with data in a coherent manner to communicate the significance of analysis and findings.

• Understanding Business Objectives: Comprehend business requirements behind analysis, which involves actively engaging with stakeholders to grasp their needs, challenges, and objectives.

• Reporting: Collaborate to develop and refine reports and ad-hoc queries for presentations that convey key findings and their potential impact on healthcare operations so stakeholders can make informed decisions.

Remote eligible.

The job summary and responsibilities listed above are designed to indicate the general nature of the work performed within this job. They are not designed to contain or be interpreted as a comprehensive inventory of all job responsibilities required of employees assigned to this job. Employees may be required to perform other duties as assigned.

Job Requirements

• Bachelors Of Arts in related field from four year college or university

• Bachelors Of Science in related field from four year college or university

• An equivalent combination of education and experience may be considered

• Minimum of 5 years of experience in data scientist role

• Able to function independently, adapt quickly to changing environments and open to new ideas

• Focuses on skill-building and role modeling at all levels of the organization to ensure a consistent approach to budgeting and analytics;

• Adopts a continuous improvement culture, seeking to make good processes better and to elevate those that need work;

• Capable of maintaining an independent perspective without losing collaborative nature, trust and respect;

• Knowledge of advanced analytic tools, software and coding experience;

• Knowledge of databases and programming languages to manipulate data;

• Ability to extract, combine and organize large data sets;

• Ability to prepare quick pointed summaries for executives and stakeholders;

• Capability to translate the technical aspects of quality to what it means for the business, both top and bottom line;

• Ability to work with mathematical concepts related to financial cost analysis.

• Track record of data-driven decision making, with a thirst for analytics and an ability to incorporate insights from data sources into organizational strategy development;

• Ability to write reports, business correspondence, and procedure manuals;

• Must be proficient with Word, Excel, PowerPoint Access and Outlook;

• Technical skills in relevant software (e.g., SQL, Python, C++)

• Preferred - Knowledge of the supply chain and healthcare operations

Where You'll Work

Inspired by faith. Driven by innovation. Powered by humankindness. CommonSpirit Health is building a healthier future for all through its integrated health services. As one of the nation's largest nonprofit Catholic healthcare organizations, CommonSpirit Health delivers more than 20 million patient encounters annually through more than 2,300 clinics, care sites and 137 hospital-based locations, in addition to its home-based services and virtual care offerings. CommonSpirit has more than 157,000 employees, 45,000 nurses and 25,000 physicians and advanced practice providers across 24 states and contributes more than $4.2 billion annually in charity care, community benefits and unreimbursed government programs. Together with our patients, physicians, partners, and communities, we are creating a more just, equitable, and innovative healthcare delivery system.

Pay Range

$54.76 - $81.45 /hour

We are an equal opportunity employer.