At SSRS, the work we do has an impact. We give people the chance to be heard by conducting quantitative and qualitative research on a variety of topics including current events, health care, customer satisfaction, politics, media usage, sports, and more.

Our team of critical thinkers has genuine enthusiasm for our work and a shared goal to connect people through research.  We get excited about the inherent problem solving involved in survey-based research, and our process fosters transparency through collaboration.

The Methods, Analytics, and Data Science team (MADS) department at SSRS provides comprehensive methodological and statistical support across the organization. Our team works closely with research teams throughout the project life cycles, delivering high-quality solutions based on experimentally validated methods. We specialize in designing and implementing rigorous, efficient sampling methods, particularly for rare and diverse populations, and employ innovative techniques to weight the resulting survey data.

In addition to our support role, the MADS department also takes a leadership position in shaping SSRS strategy and plays a crucial role in maintaining and enhancing the methodological and statistical infrastructure of our probability panel.

Our MADS team is looking for a Survey Methods and Data Science Assistant that is smart, committed, data analyst to provide support in a variety of statistical and methodological tasks, including survey imputation and weighting, sample design, and other data science enterprises.  A sense of humor, organizational skills, and a love of all things data would be great, too.

This position is based in our Glen Mills, PA office, but remote work is a possibility for the right candidate.

 Key Responsibilities

• Assist in the design and implementation of rigorous, efficient methods for sampling from diverse populations and weighting resultant survey data.
• Prepare and process both structured and unstructured data sets.
• Support project teams by providing technical help with sample planning, weighting, and other methodological and survey design issues.
• Assist in methodological research and development aimed at improving the representativeness of sample survey data.
• Support the development and writing of research papers, professional conference presentations, and journal articles.

Position Requirements:

• Undergraduate or master’s degree in statistics, social sciences, or related field.
• Coursework in applied mathematics or statistics, quantitative social science, and/or survey research methods.
• Skilled in the use of computer software, especially packages for statistical analysis (R, SPSS, Stata, or SAS) and knowledge of computing platforms and data file construction.
• Meticulous, attentive to detail, and able to collaborate and work well in teams or independently.
• Willing and able to work across projects and learn new skills quickly in a collaborative and fast-paced environment.