Product Analytics and Experimentation Expert
Listing checked October 7, 2026 · pay as published by AfterQuery
Overview
AfterQuery brings on data scientists and product analysts to write the product analytics problems that frontier AI labs use to test model judgment. You draw material from your own work on experiments, metric definitions, retention and growth, then carry each problem through to a reference answer with the reasoning spelled out at every step. The schedule runs async with a floor of 10 hours a week and no ceiling, so commitment shifts week to week. Pay arrives weekly through Stripe, and nothing records your screen, keystrokes or idle time.
What You'll Do5
- 1Author product analytics problems that mirror the calls you make on the job, covering A/B tests, metric definitions, retention and growth.
- 2Complete each problem by building a reference answer and explaining why every analytical step follows.
- 3Flag the errors that read as reasonable on first pass but only a working practitioner would catch.
- 4Shape scenarios around SQL, Python and applied statistics so the answer depends on analytical judgment rather than recall.
- 5Set your own pace week to week, scaling hours up or down while staying above the 10 hour minimum.
Requirements7
- 1Three or more years of full time work as a data scientist or product analyst on a product team. Internships and coursework do not count.
- 2Direct involvement in designing or analyzing A/B tests.
- 3Solid command of SQL, Python and applied statistics.
- 4Capacity to commit at least 10 hours per week.
- 5Written English strong enough to walk a reader through an analysis without confusion.
- 6Preferred: a Master's degree in a quantitative field.
- 7Preferred: background defining product metrics or modeling retention and lifetime value.
Who Should Apply
Product analysts and data scientists with at least three years of full time product team experience match this role best, particularly those who have run or reviewed A/B tests and can explain a statistical result in plain written English. A Master's in a quantitative field helps, and prior work defining product metrics or modeling retention and lifetime value lines up with the problems you would write. People whose analytics experience comes from internships or coursework will not clear the screen, since the listing asks for full time product work. Applications also stall when a candidate cannot hold 10 hours a week or writes explanations that skip the reasoning behind a result.
Salary Insight
The listing pays $115.00/hr, deposited through Stripe each week. That rate runs well above typical contract product analytics work and matches senior analysts carrying three or more years of full time product experience. Hours stay flexible, but the 10 hour weekly minimum means total earnings track how much work you choose to take on.
Pay and demand for Data Science & Analytics roles
AggregatedTypical pay
$75/hour
This role
$115/hr
Most Data Science & Analytics roles pay $52–$100 per hour. This role's pay sits above that range.
Based on 501 similar roles that publish pay · 98 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
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- Listed in last 30 days
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- 92%
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Most requested skills · share of roles
- python18%
- technical writing9%
- ai evaluation8%
- ai training7%
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Compensation
$115/hr
Required Skills
Application Tip
Write up one real experiment you designed or analyzed and include the metric, the sample, the result and the call you made from it. Naming the specific statistical method and showing how you reasoned through an edge case proves the judgment this role screens for far better than a list of tools.
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