Implementing pre/post, A/B test, and multi-arm bandit experiments with statistical rigor, clear objectives, measurable outcomes, and repeatable learnings and insights
Evaluating the effectiveness of various promotion constructs and redemption constraints
Setting program-level, campaign-level, and initiative-level performance benchmarks
Supporting strategic initiatives such as new product launches, market entry, partnerships, or channel expansion
Deeply understanding the Lime customer journey and where well-structured communications or incentives can motivate the right behavior changes
Managing and mentor a small team of analysts, setting high standards for analytical quality and business impact
Acting as a trusted advisor to senior leaders, influencing decisions through data and structured thinking
Partnering cross-functionally with Product, Data Science, Marketing, Finance, and Operations teams

7+ years of experience in applied science, marketing or advertising analytics, CRM, lifecycle marketing, or a related field
Strong background in quantitative analysis, statistics, and marketing attribution
Experience with multi-arm bandit, contextual bandit, and/or reinforcement learning
Ability to clearly communicate complex insights to non-technical audiences
Bachelor’s degree in Economics, Finance, Business Analytics, Computer Science or a related quantitative field
Preferred Experience: MBA or MS degree in Economics or Data Science or a related field
2+ years of people management experience

Senior Manager, Growth Optimization

Key skills