A/B Test Data Scientist (Website Experimentation)

Role Overview

As an A/B Test Data Scientist, you will be the statistical engine behind our website’s optimization strategy. You will design, execute, and analyze controlled experiments to improve user experience, conversion rates, and business growth. You will work at the intersection of product, engineering, and marketing to ensure every website change is backed by rigorous data.

Required Skills & Qualifications:

• Statistical Expertise: Mastery of hypothesis testing, experimental design, and probability. Knowledge of Bayesian vs. Frequentist approaches is a plus.
• Programming: Proficiency in SQL for data extraction and Python or R for advanced statistical analysis.
• Tools: Experience with experimentation platforms (e.g., Optimizely, VWO, or LaunchDarkly) and web analytics (e.g., Google Analytics 4).
• Visualization: Ability to build dashboards in Tableau, Power BI, or Looker to monitor live tests.
• Soft Skills: Strong critical thinking and the ability to explain "why" a result occurred to non-technical partners.

Experience & Education:

• Education: Bachelor’s degree in a quantitative field (Statistics, Math, CS, Economics); master’s or PhD preferred.
• Experience: 8 plus years in a data science or product analytics role, specifically focused on digital experimentation