Senior Technical Lead

• 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.

• 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.

Must Have Skill

Communication content,ANSI SQL,Machine Learning and Statistical modeling,Python

Good to Have Skill

Analytical 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.