{"html":"<p>AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We&#39;re hiring data scientists as contractors to author and solve the analysis problems those evaluations run on, drawn from the work you do every day: experiments, metrics, forecasting and predictive models. This role is for practicing data scientists with hands-on modeling and statistics experience. We&#39;re not looking for data engineers, ML engineers or reporting-only analysts. Fully remote and async, with no fixed hours.</p>\n<h3>Responsibilities</h3><ul><li>Author realistic data science problems drawn from your own work: experiments, metrics, forecasting, segmentation and predictive modeling</li><li>Work each problem through to a reference answer, with the reasoning behind every step</li><li>Catch the analysis mistakes that look reasonable but only a practitioner would spot</li></ul><h3>Requirements</h3><ul><li>Master&#39;s or PhD in statistics, computer science, economics, mathematics or another quantitative field</li><li>3+ years full time as a data scientist (internships and school don&#39;t count)</li><li>Strong SQL and Python or R</li><li>Hands-on statistics: A/B testing, regression, causal inference or predictive modeling</li><li>Able to commit at least 10 hours per week</li></ul><h3>Preferred qualifications</h3><ul><li>Experience on a product, growth or marketplace team</li><li>Experience designing and reading out experiments</li><li>Clear written English and comfort explaining an analysis step by step</li></ul>"}