Mathematica · 1 week ago

Sr. Data Analytics Developer

Washington, DC

Full-time

Remote

Senior Level

$90K/yr - $130K/yr

5+ years exp

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Research Services

Culture & Values

Insider Connection @Mathematica

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Responsibilities

Leading the development of data pipelines and analysis systems involving large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy

Informing requirements and specifications for performance measures based on cost and quality of care for evaluating the effectiveness of numerous health care policies

Articulating findings and working with researchers to adjust specifications and code as interim results are found

Evaluating the potential of creative ideas for service delivery and payment models to improve the health outcomes and well-being of patients, and to reduce spending for Medicare, Medicaid, and other payers

Mentor junior developers to follow technical standards and best practices, and may lead small teams of 2-3 developers

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ProgrammingSASPythonRJuliaStataSQLStatistical AnalysisCloud ComputingAmazon Web Services (AWS)Google Cloud Platform (GCP)Microsoft AzureDatabricksTranslation of Statistical MethodsProblem-SolvingOrganizational SkillsCommunication SkillsStatistical MethodsQuantitative MethodsCausal InferenceExperimental DesignBayesian InferenceHierarchical ModelingLongitudinal Data AnalysisPerformance MeasurementSurvey StatisticsPredictive ModelingHealth Care Claims AnalysisProposal WritingTechnical Reports

Required

Bachelor’s degree with a strong academic record in economics, applied mathematics, statistics, public health, public administration, public policy, sociology, political science, or a related field; Master’s degree preferred

5+ years of in-depth programming experience in a professional and/or academic environment

Programming expertise using SAS, Python, R, Julia, Stata, SQL, or a similar statistical language

Experience performing analytics using cloud computing platforms and services, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and/or Databricks is strongly preferred

Strong organizational and communication skills, and the ability to build consensus

Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience

Preferred

Expertise in some of the following statistical and/or quantitative methods preferred: causal inference at both the design (matching or weighting for comparison group selection) and analysis (regression) phases, experimental design, Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, survey statistics and predictive modeling

Experience analyzing health care claims is preferred

Experience contributing to written deliverables, such as proposals, technical reports, or academic manuscripts, preferred

Subject-matter knowledge in health policy preferred