Description

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+ years in a data science or product analytics role, specifically focused on digital experimentation

Key Skills

Education

Bachelor's degree