| 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 |
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