Senior Data Scientist

We’re a mission-driven, not-for-profit organization committed to delighting our customers and developing our employees. Servicing over 75 State and Federal programs in 30 states, this company makes creative use of data science, clinical expertise, and emerging technology solutions to make the healthcare system work better.

Great Company and Culture - awesome growth opportunity!

In the Sr. Data Scientist, CMS Quality Analytics role, you will be part of a team that improves the quality of care delivered in a variety of settings, including hospitals, outpatient clinics, nursing homes, ESRD centers, and within communities to vulnerable beneficiaries and senior adults enrolled in Centers for Medicare and Medicaid (CMS) programs and services. You will also be involved in internal and client projects that leverage advanced analytic approaches, including regression analysis, ROI measurement, predictive modeling, machine learning, and more. Your regular work will include collecting and reviewing data, developing analytic approaches, producing reports and dashboards, conducting root-cause analyses, and summarizing information for internal and external stakeholders.

DUTIES:
1. Understands scopes of work (SOWs) for program areas supported, including program needs, business processes, goals, and strategy. Aligns analytic approaches to SOW needs.
2. Helps business users create optimal business requirements / acceptance plans by exploring data and analytic alternatives and guiding users to the most cost-effective and efficient approach to meeting their needs.
3. Translates internal/external client business requirements into actionable instructions for meeting client needs. Works with stakeholders to improve business outcomes.
4. Designs analytics (reports, dashboards, models) to respond to complex requests. Develops quantitative approaches (drawing on a range of methodologies) to address client needs.
5. Develops strong understanding of data sources and works with IPRO and client data management staff to ensure complete, accurate, and timely data.
6. Recommends and implements effective data architecture for complex projects that combine several data sources, some of which may be unstructured (e.g., social determinants of health, patient reported outcomes, EMR data).
7. Conducts statistical analysis and builds predictive models using machine learning algorithms ,logistic regression, natural language processing, and other advanced approaches.

QUALIFICATIONS:
1. Demonstrated exceptional healthcare analytics skills—ideally in the health care quality measurement arena. Includes strong ability to create models and predict future trends. Create solutions that broadly support the business across clients.
2. Experience with advanced analytic techniques (e.g., complex trend and benchmark comparisons, data mining, complex visualizations) and standard statistical ability (e.g., t-tests, control charting, regression analysis, forecasting).
3. Strong proficiency and experience with analytic tools, such as
4. Relational database concepts/query tools (e.g., SQL, Metabase, MS Access/Visual Basic, Visual Studio)
5 .Data management tools (e.g., Matillion, Python)
6. BI visualization tools (e.g., Tableau, MS Excel, Power BI)
7. Statistical programming experience in SAS, R, or SPSS a big plus.
9. Experience connecting many types of healthcare data (e.g., payer administrative, lab, EMR, social determinants, patient-self reported data) to answer complex business questions.