Hiring Decision Science Analytics

• Design, implement, and evaluate A/B and multivariate experiments to optimize member acquisition, engagement, and retention strategies.
• Apply advanced statistical methods, including regression analysis, hypothesis testing, predictive modeling, segmentation, and causal inference.
• Analyze large and complex datasets to identify trends, opportunities, and key drivers of member behavior.
• Translate analytical insights into actionable business recommendations.
• Collaborate with product, marketing, and business stakeholders to define success metrics and measurement frameworks.
• Develop dashboards, reports, and presentations to effectively communicate findings and recommendations.

We are seeking a data-driven professional to support Member Deepening and Retention initiatives through advanced statistical analysis and experimentation. The ideal candidate will possess deep expertise in statistical methodologies and extensive experience designing, executing, and analyzing A/B tests to drive member engagement, retention, and lifetime value., * Strong expertise in statistical methodologies, experimental design, and hypothesis testing.

• Proven experience leading end-to-end A/B testing and experimentation programs.
• Proficiency in SQL, Python, R, or similar analytical tools.
• Experience supporting customer/member retention, loyalty, engagement, or lifecycle management initiatives.
• Excellent analytical, problem-solving, and communication skills., * Bachelor’s, Master’s, degree in a quantitative discipline such as Statistics, Mathematics, Economics, Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field.