About this opportunity
Verasight lists this Data Scientist opportunity in everett, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
What we are looking for
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:
How to Apply
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Include your CV/Resume, a one-paragraph statement of interest, and a link to your GitHub profile (if available)
Responsibilities
Leverage Verasight’s data pipelines and processing procedures to own the data collection and quality process from end to end, including: building contact lists and sampling frames, monitoring survey fielding, cleaning and analyzing survey response data, writing methodology documentation, and preparing client deliverables
Manage multiple simultaneous projects throughout all stages of the project life cycle, identifying potential roadblocks early and proactively proposing solutions
Contribute, in collaboration with the Verasight team, innovative methods of automation and expand the data science team “toolbox” to suit a wide variety of data needs
Conduct internal experimentation and research to hone Verasight’s approach to survey research
Bring a creative and solutions-oriented mindset
Required Qualifications
Experience coding in R, including writing custom functions, package development, REST API integration, and writing reusable and well documented code
Enthusiasm for bringing AI tools (such as Claude Code) to survey research
Knowledge of quantitative survey research methodologies, statistical concepts, and the ability to apply them to solve novel problems
Innovative, independent mindset and a willingness to learn new technical and statistical skills when needed to tackle emerging challenges
Strong communication skills to suit a highly-collaborative fast-paced remote work environment
Experience managing multiple ongoing projects with competing deadlines
Commitment to working in an inclusive environment
Preferred Qualifications
Experience with commonly used survey software platforms, such as Qualtrics
Familiarity with GitHub for collaborative code development
Practical experience using voter file data (e.g., L2, Catalist, TargetSmart)
Knowledge of survey weighting practices, including population benchmark data (e.g., Census) and poststratification techniques (e.g., raking)
Experience writing SQL
Familiarity with JavaScript
2+ years of survey or social science research experience
Benefits
Competitive salary based on experience
Health insurance
401k with company matching
Opportunity to travel to represent Verasight at conferences
Gain experience working directly with government agencies, nonprofits, academic researchers, and corporations
Remote work
About Us
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.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.