About the role
AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We'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're not looking for data engineers, ML engineers or reporting-only analysts. Fully remote and async, with no fixed hours.
Responsibilities:
- Author realistic data science problems drawn from your own work: experiments, metrics, forecasting, segmentation and predictive modeling
- Work each problem through to a reference answer, with the reasoning behind every step
- Catch the analysis mistakes that look reasonable but only a practitioner would spot
Required qualifications:
- Master's or PhD in statistics, computer science, economics, mathematics or another quantitative field
- 3+ years full time as a data scientist (internships and school don't count)
- Strong SQL and Python or R
- Hands-on statistics: A/B testing, regression, causal inference or predictive modeling
- Able to commit at least 10 hours per week
Official source: experts.afterquery.com. Details can change; the platform's page is the final word. Something wrong with this listing? Tell us.
