Product Analytics and Experimentation Expert

AfterQuery; Ireland; Remote; EUR 36,000 - 73,000; Full time

Benefits offered by this job

Weekly payments via Stripe

Flexible hours

Job summary

AfterQuery is seeking a remote, project-based data scientist or product analyst with 3+ years of full-time experience on a product team. You will author realistic analytics problems, cover experiments, metrics, retention and growth, and provide reference answers with reasoning. Work is async with 10+ hours weekly and paid weekly via Stripe.

This independent contractor role offers flexible scheduling, no screen recording, and no idle timers, enabling you to scale work up or down week to week.

Qualifications

• 3+ years full-time experience as data scientist or product analyst
• Hands-on experience designing or analyzing A/B tests
• Strong SQL, Python and applied statistics
• Commit to at least 10 hours per week

Responsibilities

• Author realistic product analytics problems drawn from decisions you make at work: experiments, metrics, retention and growth
• 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

Skills

A/B testing design

SQL

Python

Applied statistics

Written English

Education

Master's degree in quantitative field

Job description

This is a remote, project-based role for data scientists and product analysts with 3+ years of full time experience on a product team. You will author realistic product analytics problems drawn from the decisions you make at work, covering experiments, metrics, retention and growth, and work each one through to a reference answer that frontier AI labs use to test model judgment. Work is fully async with no fixed hours, a minimum of 10 hours per week and no maximum, and you can scale up or down week to week. This is an independent contractor role with ongoing project work, paid weekly via Stripe, with no screen recording, keystroke monitoring, or idle timers.

Responsibilities

• Author realistic product analytics problems drawn from the decisions you make at work: experiments, metrics, retention and growth
• 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

• 3+ years full time as a data scientist or product analyst (internships and school don't count)
• Hands-on experience designing or analyzing A/B tests
• Strong SQL, Python and applied statistics
• Able to commit at least 10 hours per week
• Strong written English and able to explain an analysis clearly

Preferred Qualifications

• Master's degree in a quantitative field
• Experience defining product metrics or modeling retention and lifetime value

Why apply

• Work stays in your specialty, judged on analytical judgment rather than 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 analysis