Data Scientist Expert

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.

Why apply

• Work stays in your specialty and is judged on analytical judgment, not volume
• Set your own hours and scale up or down week to week
• Weekly pay via Stripe
• Your judgment shapes how the next generation of AI handles data science

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

Preferred qualifications

• Experience on a product, growth or marketplace team
• Experience designing and reading out experiments
• Clear written English and comfort explaining an analysis step by step