Data Scientist - 100% Remote
About the Company
Verasight is a survey research company focused on improving data quality and creating a better experience for survey respondents. Its work supports decisions involving national policy, academic research, Fortune 500 companies, and public discussions. Founded by Peter Enns, a Cornell Professor of Government and Public Policy, and Ben Leff, a Stanford Graduate School of Business alumnus and former Goldman Sachs professional, Verasight was built by and for academic researchers. Its customers include national media organizations, Fortune 500 companies, government agencies, investors, brands, and researchers.
About the Role
Verasight is looking for a Data Scientist to expand its ability to deliver high-quality surveys for clients. In this role, you will use and develop the company's existing code base to support rigorous, repeatable data collection, analysis, quality control, and reporting. You'll manage survey projects from start to finish, including sampling, fieldwork monitoring, response data analysis, methodology documentation, and client deliverables. You'll also contribute to internal research, experiment with new approaches, and develop automation methods and tools that support a wide range of survey research needs. This remote position is suited to someone who enjoys solving problems independently, working collaboratively, and applying technical and statistical skills to improve survey research.
Key Responsibilities
Manage end-to-end data collection and quality processes using Verasight's data pipelines and processing procedures. Build contact lists and sampling frames for survey projects. Monitor survey fielding and review progress throughout data collection. Clean and analyze survey response data to support reliable findings. Write methodology documentation and prepare client deliverables. Manage multiple projects across all stages of the project life cycle, identifying potential roadblocks early and proposing solutions. Collaborate with the Verasight team to develop automation methods and expand the data science team's tools for different data needs. Conduct internal experimentation and research to improve Verasight's survey research methods. Apply a creative, practical, and solutions-oriented approach to technical and research challenges.
Required Qualifications
Experience coding in R, including writing custom functions, developing packages, integrating REST APIs, and producing reusable, well-documented code. Enthusiasm for applying AI tools, such as Claude Code, to survey research. Knowledge of quantitative survey research methodologies and statistical concepts, with the ability to apply them to new and challenging problems. An independent and innovative mindset, with a willingness to learn new technical and statistical skills as needed. Strong communication skills and the ability to collaborate effectively in a fast-paced, remote work environment. Experience managing multiple ongoing projects with competing deadlines. Commitment to working in an inclusive environment. Preferred Qualifications / Requirements Experience with commonly used survey software platforms, such as Qualtrics. Familiarity with GitHub for collaborative code development. Practical experience using voter file data, such as L2, Catalist, or TargetSmart. Knowledge of survey weighting practices, including population benchmark data such as Census data and poststratification techniques such as raking. Experience writing SQL. Familiarity with JavaScript. At least 2 years of survey or social science research experience. Salary & Benefits Competitive salary based on experience. Health insurance. 401(k) with company matching. Opportunities to travel to conferences and represent Verasight. Experience working directly with government agencies, nonprofits, academic researchers, and corporations. Remote work. Location and Work Arrangement This is a remote position. You will collaborate with the Verasight team in a fast-paced, highly collaborative work environment while managing multiple research projects and deadlines.
How to Apply
Email your application to [email protected] with the job title in the subject line. Include your CV or resume, a one-paragraph statement of interest, and a link to your GitHub profile, if available.