This Associate Statistician (Data Science Focus) will be a member of the USPA Data Analytics and Applied Sciences (DAAS) group. DAAS is a team of survey methodologists, statisticians, and Ph.D. social and behavioral scientists located in Ipsos offices throughout the US. DAAS researchers work across disciplines to develop custom, high quality data and analytic solutions, and produce empirical insights used throughout the USPA practice. DAAS researchers are passionate about research, data, problem-solving, and innovation.

Key Responsibilities

• Support diverse USPA project teams in addressing client research needs via developing efficient and robust study designs, and executing comprehensive, advanced inferential and predictive analyses.
• Assist senior researchers in generating complex weighting adjustments using machine learning as well as classical statistical procedures, implementing variance adjustments for survey inferences, blending samples, and monitoring data quality.
• Prepare internal and external data for analysis, and review data as they come in from the field.
• Serve as supporting author on client technical deliverables, as well as narrative proposals.
• Actively contribute to technical literature reviews and solutioning sessions in the domains of statistics, data science, causal inference, synthetic data, and data integration.
• Work as part of interdisciplinary project teams to interpret and cross-validate study findings, develop visualizations and insights, and communicate results to clients and stakeholders.
Interface with other technical teams across Ipsos to facilitate effective deployment of high performance computing resources.

The Ideal Candidate has the following Skills, Experience, and Attributes

• Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly-quantitative social or behavioral science field.
• Between 2-6 years of experience (depending on credential) in an applied research settings, preferably serving Federal or state statistical or policy agencies in the domains of population and / or behavioral research.
• Experience with Bayesian modeling and / or supporting the design and implementation of complex sampling and weighting plans a plus.
• Formal training in one or more forms of longitudinal data analysis and their application to social and behavioral research (i.e., growth curve modeling, mixed effects models, panel methods, failure time / event history analysis, time series, etc.).
• Experience with Census, health, public opinion, and demographic data.
• Advanced skills in R and Python (must have experience using PyTorch); skill in SAS preferred.
• Ability to convey complex technical topics to non-technical audiences, both verbally and in written form.
• Proactive, and comfortable working within tight and shifting timelines. Ability to support multiple projects simultaneously, while maintaining a strong client service orientation.
• Unflagging attention to detail and commitment to the accuracy and completeness of information, quality of results, and robustness of findings.
• Team player with strong interpersonal skills, and the potential to grow as a multidisciplinary quantitative researcher in a dynamic and entrepreneurial organization.
Flexible and comprehensive thinker with enthusiasm for learning and population research; solid foundation in the theoretical and practical aspects of applying statistics as well as data science tools and principles to custom, hypothesis-driven social and behavioral research.

In order to comply with US Federal Government requirements, the successful candidate must be a US Citizen.