Data Scientist Sr Job at Cone Health in Greensboro, NC
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Position:
Data Scientist Sr
Company:
Job Location(s):
Greensboro, NC
Start Date:
As soon as possible
Employment Term:
Regular
Employment Type:
Full Time
Starting Salary Range:
Not Provided
Required Experience:
5 years
Required Security Clearance:
None
Related Categories:
IT - General, IT - Database, Natural Sciences and Mathematics
Position Description
Data Scientist Sr
ID
2023-20994
| Location | Cone Health | Work Location | US-NC-Greensboro | Division : Name | System Wide | Department : Name | SW-Enter Analytics - Consulting Svcs | Category | PROFESSIONAL/MNGMNT | Position Sub-Category | PROFESSIONAL/MNGMNT | Position Type | Full Time (40 hours/week) | Employment Type | Employee | Exempt/NonExempt | Exempt | FTE | 1.00 | Workforce Status | Hybrid I | Work Hours | 40.00 | Provider Schedule (specific schedule) | M-F Standard 40 hr | On call Required | No | Sub Category | Professional/Management |
| The Data Scientist - Senior is an experienced data science resource on the Insight Discovery & Computational Modeling team within the Cone Health Enterprise Analytics department. The Data Scientist ? Senior leverages advanced knowledge of the tools and methods of applied data science to generate business and clinical value for Cone Health through discovery of new insights/knowledge. The role of the Data Scientist - Senior at Cone Health is to independently: ? Apply machine learning-based data mining methods to discover new patterns in claims and care delivery data for the purpose of understanding performance of the Cone Health enterprise and/or the populations that it serves, ? Create predictive models for clinical and financial outcomes and/or population behaviors, and/or ? Build simulation models to assess the range of possible outcomes for strategic and tactical proposals, and to gain an understanding of the sensitivity to associated business levers, prior to implementation. ? Provide data science tools and methods mentorship and project leadership to staff at the Data Scientist and Data Scientist - Intermediate levels. The result of the data scientist?s work is a body of high-impact models that can be implemented in a production setting to improve member health outcomes, to increase the efficiency of care delivery operations, and to contain health care costs through health improvement and risk mitigation. |
Talent Pool: Corporate/Professional Services
| Demonstrate attention to detail and initiative in discovering errors in data or analyses, or determining the need for additional, follow-up analysis arising from the original assignment. -------------------------------------------------- Develop knowledge and expert understanding of Cone Health clinical and business initiatives to ensure value-adding design and interpretation of analysis. -------------------------------------------------- Independently, or by supervising teams of data scientists, produce a combination of data mining, predictive modeling, simulation modeling or other quantitative analyses to provide new insights into drivers of clinical risk and financial performance. -------------------------------------------------- Produce, or oversee production of, publication-ready, customer-oriented reports that provide business context for data science-based analysis and recommendations, requiring only minor revision by the Enterprise Analytics leadership. -------------------------------------------------- Represent Enterprise Analytics leadership as a data science expert in business engagements with mid- and senior-level leadership when called upon to do so. -------------------------------------------------- Serve as department-wide consultant regarding advanced data mining and predictive modeling methods, as well as application of scientific research principles to knowledge discovery. -------------------------------------------------- |
| EDUCATION: |
| Request: Master?s degree in a quantitative, analytical discipline such as data science, mathematics, statistics, operations research, actuarial science, or the physical sciences. |
| EXPERIENCE: |
| Required: ? Minimum of five (5) years of experience applying data science and other advanced analytics methods to very-large scale information sources required. Six years is preferred. ? Demonstrated expertise in data science and analytical methods, particularly as applied in the healthcare domain, may reduce time-in-position and/or educational requirement. ? Extensive experience developing, applying, and interpreting results from successful (i.e., practical and impactful) analytics projects. ? Advanced knowledge of data science tools and methods, including machine learning and predictive modeling or simulation modeling. ? Demonstrated expertise with multiple data science tools is required, e.g.: R, Python, RapidMiner, SAS/Enterprise Miner, Statistica, AnyLogic, or BayesiaLab. Experience with similar tools will be considered. ? Extensive experience designing and applying multiple advanced data mining, statistical analysis, and predictive modeling methods independently is required. ? Demonstrated experience working with large, complex, relational databases is required. ? Demonstrated experience with data extraction, data manipulation, and reporting is required. ? Demonstrated expertise applying advanced problem-solving skills in the business environment. ? Experience presenting analytically-derived findings to senior leadership is required. Preferred: ? Analytics experience in the healthcare delivery or health insurance industries is strongly preferred. Relevant experience in other industries (e.g., retail, social media, financial services) will be considered. ? Two-or-more years of experience applying advanced analytics tools and methods to healthcare data is strongly preferred. ? Two-or-more years of experience in a healthcare operations environment (health system or insurer) is strongly preferred. ? Prior supervision of individual, or teams of, data scientists is strongly preferred. ? Understanding of HIPAA and other applicable statutes or regulations concerning patient privacy and appropriate use and sharing of healthcare data is strongly preferred. |
| LICENSURE/CERTIFICATION/REGISTRY/LISTING: |
| REQUIRED Valid Driver's License | Valid Driver's License PREFERRED |
Cone Health is an Equal Opportunity Employer and committed to providing equal opportunity employment opportunities for applicants and employees. All employees and applicants for employment will be evaluated on the basis of their qualifications, ability, and performance without regard to race, religion, age sex, sexual orientation, gender identity, veteran's status, ethnicity, national origin, disability, color, or as otherwise protected by law.