Director of Scientific Research, YouGov

YouGov is looking for a Director of Scientific Research

Reporting to:      Managing Director of Scientific Research
Department:      Scientific Research Group / US Custom
Location:              San Francisco, CA
Status:                  Full-time Regular Exempt

This role within the Analytics team advises internal and external clients on complex sampling designs, methodology, and advanced analytics. Responsible for implementing methodology and analytics, this position coordinates with the Director of Analytics to provide statistical services and advice to all parts of the company.

We are looking someone who combines knowledge of applied statistics or econometrics with strong computational skills (especially R, Python and SQL), along with the ability to contribute to proposal writing and presentations to clients. Working in a fast-paced and intellectually stimulating environment where technically sophisticated solutions to marketing, financial, and political problems are developed.

What will I be doing day to day?
• Provides senior level matching and weighting methodologies for academic, political, and market research projects.
• Develops, integrates, and implements outside data, technologies, and methods.
• Utilizes US Census data and other high-quality data sources to estimate population targets and to create sampling frames for the academic and political surveys.
• Advises project managers and clients on data analytics, research design, matching and weighting methodology machine learning, and data science methodology.
• Performs database work utilizing SQL and Python.
• Coordinates external software, data matching services, and data augmentation with third-party vendors.
• Answers questions concerning feasibility of research design or sample frame for other hubs and custom teams.
• Signs off on client deliverables.

What do I need to bring with me?
• Master’s Degree, PhD preferred, in Statistics, Econometrics, Political Science, Sociology, Social Science Methodology, or similar discipline.
• Three or more years’ experience in survey methodology and quantitative research, especially sampling design and survey weighting.
• Three or more years’ experience in applied statistics or data analytics, knowledge of linear regression, binary choice models, matching, resampling, and missing data imputation.
• Three or more years’ experience in machine learning or data science, specifically supervised and unsupervised models, natural language processing, and Bayesian analysis desirable.
• Advanced programming knowledge in R and Python.
• Advanced knowledge of SQL (PostgreSQL, MySQL, MS SQL) and relational databases.
• Excellent communication skills and ability to work effectively on a team essential.

Please email if you have questions or to apply