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Verasight is building the future of survey research with high-quality data and a fresh respondent experience. We are seeking a Data Scientist to enhance data collection, analysis, QC, and reporting for client surveys.
You will own end-to-end data pipelines, monitor fielding, and contribute to automation within a collaborative, remote-friendly team. The role emphasizes applying quantitative methods, developing reusable code, and partnering across teams to deliver rigorous insights.
Verasight is building the future of survey research with unparalleled data quality and a re-imagined respondent experience. Our team recognizes the importance of high-quality data for our customers to make key decisions that affect national policy, academic research, the direction of Fortune 500 companies, and important public conversations.
We are looking for a Data Scientist to help us expand our capacity to field high quality surveys for our clients. This role will apply and expand Verasight’s code base to execute rigorous and replicable data collection, analysis, quality control, and reporting methods. We are a scrappy team and you will have an opportunity to help expand access to high quality survey data.
We depend on colleagues who are diverse, team oriented, novel thinkers, and passionate about redefining the data landscape. Verasight works to create a welcoming community in which all individuals are respected and included.
Meet the Verasight team here: https://www.youtube.com/watch?v=WC3Zx3TKZzc
Founded by Peter Enns (Cornell Professor of Government & Public Policy) and Ben Leff (Stanford GSB and ex. Goldman Sachs), Verasight was built by and for academic researchers. Our customers include national media organizations, Fortune 500 companies, national and state government agencies, investors, brands, and researchers. We are looking for bold leaders to join our team to re-invent what it means to collect and analyze survey data.