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Data Associate

Job ID 1229-1

Position Description:

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Read more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance.

We are looking for data associates to support data processing and analysis tasks, such as building data pipelines, monitoring data quality, developing documentation, applying statistical and data science methods, and creating data visualizations. Our data associates underpin our company's core offerings in program improvement and data science, which yield crucial evidence and information for policy and decision makers.  Data associates are the entry level position on the data scientist career track at Mathematica.

This position focuses on health policy, which includes projects such as:

  • Monitoring the impacts of an alternative payment model for primary care in terms of care quality, cost, and health outcomes for diverse beneficiaries, using claims from thousands of primary care practices across the country and predicting future hospital costs and behavior
  • Developing and testing how claims and survey data from federal and state-level programs could be used to measure patients’ experience of care, quality of life, care coordination, and long-term outcomes for beneficiaries enrolled in both Medicare and Medicaid
  • Creating an interactive data visualization tool to help local policy and decision makers understand how social determinants of health are related to health outcomes in their county, using open source data from public agencies and non-profits

Specifically, our data associates contribute to team-based projects by:

  • Writing and maintaining programming code in languages such as Python and R to obtain, combine, transform, and analyze datasets on cloud, internal, and client servers
  • Developing and maintaining documentation on code and analysis plans
  • Implementing quality assurance practices, such as version control in Git (including pull requests) and testing code/programs
  • Conducting analysis and communicating results, such as descriptive statistics, data visualizations, and model diagnostics
  • Implement and run analyses as required using a cloud service provider, such as AWS

Position Requirements:

  • Bachelor’s degree with a strong academic record in economics, computer science, mathematics, statistics, engineering, public policy, public health, or a related field
  • Demonstrated interest and/or experience using programming and data science and/or statistics to contribute to projects with a policy/social impact in academic and/or professional settings
  • 0 - 2 years of programming experience in a professional or academic environment using Python and/or R
  • Ability and desire to work independently as part of an interdisciplinary team that may be geographically dispersed. This includes being able to learn resources such as self-guided tutorials, package documentation, and academic articles and willingness to constantly learn and contribute to knowledge sharing with team members
  • Desired but not required: experience with health care data, data management programming, version control, interactive visualizations, tidyverse, R Shiny, R Markdown, pandas, and/or scikit-learn

To apply, please submit:

  • A cover letter
  • A resume
  • Transcripts
  • A programming sample in one of the following languages: Python, R, SAS, Stata, Go, Julia (Can be provided in the form of file attachment or GitHub repository link)

Various federal agencies with whom we contract require that staff successfully undergo a background investigation or security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance.

This position offers an anticipated annual base salary range of $45,000 - $87,000. This position may be eligible for a discretionary bonus based on company and individual performance.

Available locations: Washington, DC; Princeton, NJ; Cambridge, MA; Ann Arbor, MI; Woodlawn, MD; Oakland, CA.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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