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Statistical Survey Analyst

Job ID 1104

Position Description:

Want to make a difference in our world. 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. 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. We are looking for aStatistical Survey Analyst in our Washington DC, Chicago IL, or Princeton NJ office. 

Responsibilities:

Programming:

  • Write programs to construct sample frames, select samples, calculate weights, and impute missing data
  • Perform data analyses using statistical programs such as SAS and R
  • Produce descriptive statistics and tables

Research:

  • Prepare tables and graphs based on analyses
  • Compile, track, and analyze data and prepare reports
  • Assist with writing reports and memos
  • Perform literature reviews and abstract articles
  • Assist with any other project activities as needed

Position Requirements:

  • Master’s degree in a quantitative discipline such as: statistics, biostatistics, mathematics, survey methodology, data analytics, or other quantitative social science - or an equivalent combination of education and experience. A minimum of a Bachelor’s degree in one of these quantitative disciplines and four years of relevant experience is required if the candidate does not have a Master’s degree.
  • Coursework and/or experience in survey sample design is essential
  • Background or interest in social policy research.
  • Excellent written and oral communication skills, including and ability to translate research findings for a policy audience
  • Ability to collaborate and work well in teams
  • Strong organizational skills with demonstrated ability to work efficiently, accurately, and independently
  • Required knowledge, experience, and demonstrated ability to conduct statistical programming in SAS, R, or Stata

Preferred coursework and/or experience in one or more of the following quantitative research areas:

  • Weighting, variance estimation for complex sample survey data, imputation, survey design methodology (especially on survey paradata, total survey error, and adaptive survey design), or data disclosure avoidance
  • Multivariate modeling, experimental designs, propensity score matching and weighting, nonprobability samples and data calibration, and data linkage.
  • Data mining, predictive modeling, natural language processing, data visualization
  • Programming in Python

To apply, please submit cover letter, resume, writing sample, transcript, salary expectations, and coding samples (SAS, R, or Stata). You will be asked to attach these materials during the online application process. Please click the "Apply Now" icon after the Position Description to attach your documents. Letter of recommendations not expected or required.

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.

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.

Available Locations: Washington, DC; Chicago, IL; Princeton, NJ

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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