Statistical Analyst (Remote Eligible)

Responsibilities

• Apply statistical and quantitative methods to evaluate and improve social programs and policies, with the oversight of more senior statisticians.
• Aid in designing rigorous studies, determining appropriate analytic methods, selecting survey samples, calculating nonresponse adjustments, analyzing survey responses, and interpreting findings.
• Write programs to perform all stages of quantitative analysis, including: data extraction, cleaning, and manipulation; applying advanced statistical and quantitative techniques for survey and administrative data; and developing programs for descriptive statistics, table populating, and result visualization.
• Draft sections of reports, including technical appendices, and presentations for colleagues, policymakers, and other stakeholders.
• Communicate findings to internal project teams via memos, presentations, or markdown files.

Required Qualifications

• Master’s degree with quantitative discipline, such as statistics, biostatistics, applied mathematics, quantitative economics, survey methodology, data science, or a related field, or an equivalent combination of education and experience.
• Coursework or experience in statistical and/or quantitative methods, including: causal inference at both the design and analysis phases, experimental design, Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation, survey sampling, non-response weighting, power calculation, and predictive modeling.
• Fluency in one or more of the following statistical programming languages: R (preferred), Python, Stan, Julia, Stata, or SAS.
• Excellent written and oral communication skills, including the ability to translate statistical methods and findings for a non-technical audience.

Preferred Experience

• Contributing to written deliverables, such as proposals, technical reports, or academic manuscripts.
• Background or interest in social policy research and a focus on health policy research.

Benefits

• Competitive salaries ranging from $70,000 to $90,000 annually.
• A comprehensive benefits package, including the advantages of being 100% employee owned through an Employee Stock Ownership Plan (ESOP).

Pay

An anticipated annual base salary range of $70,000 to $90,000.

Schedule

N/A

Qualifications

• Master’s degree with quantitative discipline, such as statistics, biostatistics, applied mathematics, quantitative economics, survey methodology, data science, or a related field, or an equivalent combination of education and experience.
• Coursework or experience in statistical and/or quantitative methods, including: causal inference at both the design and analysis phases, experimental design, Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation, survey sampling, non-response weighting, power calculation, and predictive modeling.
• Fluency in one or more of the following statistical programming languages: R (preferred), Python, Stan, Julia, Stata, or SAS.
• Excellent written and oral communication skills, including the ability to translate statistical methods and findings for a non-technical audience.

Skills

• Statistical and quantitative methods.
• Programming in R (preferred), Python, Stan, Julia, Stata, or SAS.
• Written and oral communication skills.

Benefits

• Comprehensive benefits package.
• Employee Stock Ownership Plan (ESOP).

Pay

An anticipated annual base salary range of $70,000 to $90,000.

Schedule

N/A

Contact Information

To apply, please submit a cover letter, resume, location preferences, salary requirements, and code samples via our careers page. Please include a code sample (or two or three) which best represents your programming skills, preferably in R. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, age, national origin, religion, orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class. At Mathematica, we understand the importance of building relationships with colleagues. If you’re not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it’s an option in your area. Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo 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. Additionally, if you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment. We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high-quality work.