Data Scientist - Remote (Healthcare-focused)

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MINIMUM QUALIFICATIONS:

EDUCATION, CERTIFICATION, AND/OR LICENSURE:

1. Master's or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Data Science, or related fields).

EXPERIENCE:

1. Minimum of 5 years of experience in the data science field including machine learning, natural language processing, and data engineering.

2. Strong programming skills in languages such as Python, SQL, or R.

3. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and statistical analysis tools.

PREFERRED QUALIFICATIONS:

EDUCATION, CERTIFICATION, AND/OR LICENSURE:

1. Certifications related to AI platforms or developer tools. 

2. Electronic medical record system Proficiency or Certification.

EXPERIENCE:

1. Five (5) years experience in data science, with a focus on healthcare applications.

2. Proven track record of successfully applying data science techniques to address healthcare challenges.

CORE DUTIES AND RESPONSIBILITIES: The statements described here are intended to describe the general nature of work being performed by people assigned to this position.  They are not intended to be constructed as an all-inclusive list of all responsibilities and duties.  Other duties may be assigned.

1. Excellent verbal and written communication skills with the ability to collaborate effectively with both technical and non-technical partners

2. Create and maintain statistical models with a focus on population health data, hospital operations data and big data

3. Implement and validate predictive models using population health claims clinical data, hospital operations data and big data.

4. Engage with senior management and other internal customers to understand business needs and provide analytical solutions. Effectively communicate findings and insights to executive and business partners and collaborate with application and software development teams to integrate them into decision-making.

5. Use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights.

6. Use predictive analytics, data mining, pattern recognition, data modeling, machine learning, and other statistical methods to solve large scale problems and understand the meaning behind vast data sets.

7. Coordinates the population health data warehouse/business intelligence/strategic analytics group.

8. Collaborate with AI engineers and business intelligence to turn insights into data products (e.g., data pipelines, algorithms, self-service dashboards).

9. Improves business processes and supports critical business strategies by directing the development, implementation, and maintenance of clinical and business data residing in the data warehouse.

10. Responsible for maintaining and monitoring the data systems to ensure they meet organization requirements for population health initiatives and analyses.

11. Works cooperatively with other members of Strategic Analytics, Business Intelligence and Artificial Intelligence to ensure that the overall goals of WVU Medicine are being met.

12. Provides consultation on complex projects and is a top-level contributor/specialist.

13. Optimize joint development efforts through appropriate database use and project design.

14. Implement new statistical or other mathematical methodologies as needed for specific models or analysis.

15. Stay informed about advancements in Artificial Intelligence, statistical methodologies, and latest technology trends to drive enhancements in internal tooling and methods

16. Exceptional problem-solving abilities and the capacity to translate complex data into actionable insights.

PHYSICAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Frequent walking, standing, stooping, kneeling, reaching, pushing, pulling, lifting, grasping are necessary body movements utilized in performing duties through the work shift.

WORKING ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Office setting.

SKILLS AND ABILITIES:

1. Experience in developing and implementing an analytics and data science vision

2. Extensive knowledge ML Ops practices, including version control, automated testing, and continuous integration/delivery (CI/CD) for ML projects

3. Skilled at using programing languages such as Python, SQL and R, deep understanding of machine learning algorithms and their applications and expertise in data wrangling, preprocessing, and feature engineering

4. Ability to present and explain complex findings at various technical and non-technical levels of the organization.

5. Ability to research and integrate best practices for problem avoidance and continuous improvement.

Additional Job Description:

Scheduled Weekly Hours:

Shift:

Exempt/Non-Exempt:

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