Product Analytics and Experimentation Expert

What you'll do

You write product analytics problems based on decisions you make at work, covering experiments, metrics, retention and growth, and then work each one to a reference answer that AI labs use to test model judgment. The ad adds that you should catch the analysis mistakes that look reasonable but that only a practitioner would notice, with the reasoning shown for every step.

This is writing and solving analytical problems rather than running live experiments for a business, so the day-to-day is closer to authoring case studies with answer keys.

Who fits

• 3+ years full time as a data scientist or product analyst on a product team; internships and school do not count
• Hands-on experience designing or analyzing A/B tests
• Strong SQL, Python and applied statistics
• Strong written English and the ability to explain an analysis clearly
• Able to commit at least 10 hours per week
• Preferred: a Master's degree in a quantitative field; experience defining product metrics or modeling retention and lifetime value

What it pays

The board shows $115/hr and the ad text gives no range, so that is the figure recorded here. The ad says pay is weekly via Stripe, with ongoing project work.

Worth knowing

Good:

• Independent contractor work that is fully async with no fixed hours, a minimum of 10 hours per week and no maximum
• The ad states there is no screen recording, keystroke monitoring or idle timers
• Pay is weekly via Stripe, and the work stays in your specialty

Less good:

• The 3 year product-team requirement is firm, and only full-time experience counts
• A 10 hour weekly minimum applies
• The ad does not describe the hiring steps; AfterQuery's help centre describes an unpaid, one-attempt assessment and identity verification (see the company page)

About this listing

Read from the AfterQuery Experts board on 18 October 2026, posted 6 October 2026. The experience bar, hours, Stripe pay and monitoring terms are the ad's own text. See AfterQuery.