Data Scientist
Job Description
Author and solve data-science problems that require practical statistical judgment.
What you will do
• Create cases involving experiments, metrics, segmentation, forecasting and predictive models.
• Work through each case to a reference answer and explain the reasoning.
• Identify analytical mistakes that would be easy to overlook without professional modeling experience.
Required background
• Postgraduate study to master’s or doctoral level in a quantitative discipline, for example statistics, computing, economics or mathematics.
• At least 3 years working full-time as a data scientist; internships and study do not count.
• Strong SQL plus Python or R.
• Practical statistics such as A/B testing, regression, causal inference or predictive modeling.
• At least 10 hours per week. This work requires data-science practice rather than data engineering, deployment-only ML engineering or reporting-only analysis.
Preferred background
• Product, growth or marketplace-team experience.
• Designing experiments and interpreting their results.
• Clear English explanations of an analysis.
Location and eligibility
• Remote work; country restrictions are not stated.
Availability
• Remote asynchronous work, minimum 10 hours per week.
Pay and engagement
$121/hr
USD hourly compensation. The applicable rate and agreed work scope are confirmed before work begins.