Hi AAPORNet,

The Methods and Data Science (MADS) team at SSRS is hiring for three positions. Please share this post. Here are the details:

Description:

SSRS is a survey research firm known for innovative methodologies and optimized research designs (https://ssrs.com/) and 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 clients come from academic, non-profit, government, and commercial sectors, and our work informs critical decision-making in all those areas. 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.

Senior Statistician

Our MADS team is seeking a Senior Statistician to provide technical advice on statistical and methodological issues to meet our clients’ often challenging research needs.  The role will provide leadership on statistical matters, including developing and overseeing key operational processes, study design, sampling, weighting, analytic methods, computation, communication of methods and results, data stewardship, and quality assurance.  Data capture needs include multi-mode and multi-frame designs, leveraging secondary data sources and advanced data science applications. 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

• Serve as an internal consultant to provide technical advice on sampling, statistical, and other methodological and survey design issues, as requested by Account Executives, Project Directors, or Division Heads.
• Design and implement rigorous, efficient methods for sampling diverse populations and weighting resultant survey data.
• Advise on sources of survey error and summarize their possible impacts.
• Conduct research into alternative model-based sample designs and weighting strategies to mitigate bias from under coverage and systematic nonresponse.
• Work with our Director of Data Science and Innovation to advance statistical and methodological infrastructure of the SSRS probability panel.
• Develop data visualizations and dashboards to capture trends and summarize data.
• Author sections of proposals, technical reports, methodology reports, and other deliverables.
• Present research papers at professional conferences and submit articles for publication in journals.

Position Requirements

• Master’s degree or Ph.D. in statistics, biostatistics, data science, or survey methodology and at least 6 years of relevant work experience in statistics or survey methodology; or Bachelors' degree and at least 10 years of relevant work experience in statistics or survey methodology.
• Expertise in the theory and operations of large-scale national surveys, including experience in statistical sampling and weighting and estimation.
• Expertise in some of the following areas preferred:

• Blending probability and nonprobability data
• Probability panel management
• Nonresponse bias analysis
• Imputation/missing data methods
• Mathematical-statistical modeling
• Small area estimation
• Predictive modeling and machine learning

• SQL and database management Skills in the use of computer software, especially packages for statistical analysis (R, SPSS, SAS, or Stata) and knowledge of computing platforms and data file construction.
• Excellent written and oral communication skills, as demonstrated through peer-reviewed publications, presentations to external audiences, and building strong working relationships with clients and colleagues.
• Willing and able to work across projects and learn new skills quickly in a collaborative and fast-paced environment.

Please include a cover letter with your application.

Survey Methods and Data Science Assistant

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.

Please include a cover letter with your application.

Sample Production Assistant

Our MADS team is seeking a Sample Production Assistant with 0 -3 years of experience to join the team.   A sense of humor, organizational skills, and a love of all things data would be great, too. This role will support our Sampling Department plays a key role in our work by being responsible for the timely and accurate production of sample files used throughout the company. 

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

Key Responsibilities:

• Produce sample files used for data collection across a wide variety of studies using different survey modalities.
• Track sample performance.
• Communicate with internal operational teams.
• Maintain project-specific schedules and monitor timelines.
• Document project processes and procedures.
• Review fieldwork and progress reports.
• Other duties as the needs of the business dictate.

Position Requirements

• An undergraduate degree ideally in marketing, social science, business, or equivalent combination of education and work experience.
• Proficiency in Microsoft products, particularly Excel.
• Organizational skills and the ability to manage multiple projects while preserving attention to detail.
• Excellent communication skills, both written and verbal.
• Meticulous, attentive to detail, and able to work in a fast-paced environment.
• Familiarity with SPSS or another statistical package preferred (not required).
• Familiarity with Microsoft Access/SQL a plus.

Please include a cover letter with your application.

Thanks!

Cameron

Cameron McPhee

Chief Methodologist

cmcphee@ssrs.com |  484-840-4400  |  ssrs.com

1 Braxton Way, Suite 125  |  Glen Mills, PA 19342