IMPAQ International, LLC

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Data Scientist - Health

Data Scientist - Health

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IMPAQ International, a growing and dynamic social science research firm, provides high-quality research and impact evaluation services, policy analysis, survey research, technology solutions, organizational development, technical assistance and consulting services to U.S. and international government agencies, foundations, and the private sector.  IMPAQ’s mission is to bring together exceptional people to develop innovative and rigorous approaches to evaluate the real-world impact of social policies and programs.  IMPAQ offers five locations: our Corporate Headquarters in Columbia, Maryland, rated one of America’s Best Small Cities; Downtown Washington, D.C., Boston, Massachusetts, Seattle, Washington and a Bay Area office in Oakland, California. IMPAQ has a diverse and collegial work environment and is an Equal Opportunity/Affirmative Action Employer (M/F/Disability/Veterans).


IMPAQ is seeking a self-motivated Data Scientist to join our exceptional team of experts who work to improve the health care of millions of people. The Data Scientist will be a member of the Advanced Analytics Division and will primarily support health-focused projects. The ideal candidate will demonstrate strong problem solving skills and experience in quantitative data analysis, including statistical analysis, modeling, producing data visualizations, and translating of data analysis to report writing and presentations. 


Applicants must be currently authorized to work in the U.S. on a full-time basis.  Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position.


  • Collecting, cleaning, analyzing, statistical modeling, and reporting using large and unstructured dataset using SAS and SQL
  • Use statistical methods to analyze data
  • Develop algorithms to solve complex problems
  • Communicate data through visualizations, stories, and high-level summaries that offer actionable insights
  • Analyze data, summarize results and incorporate findings into reports tailored to client needs that include actionable recommendations (includes writing technical reports and making presentations to government clients)
  • Develop rigorous quality assurance approaches to validate methodological approach and results
  • Manage client-facing projects and client relationships
  • Develop project work plans, and manage the execution of these work plans, including communicating technical and budget risks to project leadership



  • Master’s Degree in Economics, Mathematics, Statistics or related quantitative field

Knowledge, and Experience

  • 3+ years 
  • Proficiency in using SQL, SAS, R, and/or Python to collect, analyze, manage and report data required
  • Experience collecting, cleaning, analyzing, statistical modeling, and reporting using large and unstructured datasets
  • Experience using administrative claims data or health insurance claims data and topic areas such as Medicare, Medicaid, and other public health insurance programs
  • Familiar with data visualization techniques
  • Familiar with machine learning, text analytics, and/or predictive modeling
  • Strong problem solving and troubleshooting skills



  • Skilled in all aspects of data processing management and quantitative analytics
  • Excellent ability to communicate complex technical material, both orally and in writing
  • Strong writing and editing skills
  • Ability to exercise strong attention to detail, problem solving, and organizational skills. Includes the ability to produce consistent, high-quality deliverables while meeting tight deadlines
  • Strong communication skills, both verbal and written is a must. Includes the ability to communicate complex technical material succinctly and accurately, both orally and in writing
  • Excellent people skills with a customer service oriented approach, and a focus on building relationships with the client and project team
  • Ability to work independently as well as with a team in a fast-paced environment. Includes the ability to be flexible to meet project priorities




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