Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. For more information, please visit www.guidehouse.com.
Responsibilities
The MHS Data Analyst will be responsible for performing data analysis across a broad range of healthcare optimization topics for the Military Health System. This involves maintaining enterprise-level performance metrics reported to military leadership, analyzing data from central data repositories, and describing trends and results in high-visibility documents. Additionally, the analyst will conduct statistical analysis and explanatory and predictive modeling to determine best practices and to develop actionable insights and recommendations for current operations or issues. The analyst may also handle special analytical projects as needed.
Job Description/Responsibilities:
Qualifications
Required Qualifications:
Preferred Qualifications:
· Experience analyzing military health data.
· Client-facing experience in a consulting environment.
· Master’s degree in statistics, economics, epidemiology, biostatistics, data analytics, data science or related field.
· Experience analyzing pharmacy claims and pharmacy-specific costs and adjustments (AWP, WAC, member responsibility, ingredient costs, incentives, etc.)
· Experience with machine-learning or decision tree models.
· Experience with other methods of statistical analyses (generalized linear models, difference-in-differences, logistic regression).
Additional Requirements
The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described.
Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation.
Washington D.C., DC, USA
2-4 year