Strong experience in Experimentation frameworks, A/B testing and Machine Learning methodologies Familiarity with statistics and ability to use data analysis techniques to understand data quality, relationships between business metrics and technical performance Experience building client-side experimentation including SDK-based feature flagging, remote configuration and on-device experiment assignment (deterministic bucketing/consistent hashing) on iOS or comparable native platforms Proven track record instrumenting client-side exposure and metric logging (trigger-based exposure events, telemetry pipelines from device to backend) and reasoning about their correctness under real-world network and lifecycle conditions Hands-on experience operating staged/phased rollouts, holdbacks, kill-switches and forced-treatment overrides for client features, including safe ramp-up and fast rollback Fluency in programming languages like Java, Scala, Python and SQL Excellent communication, social and presentation skills Degree in Computer Science, Statistics, Applied Math or related field. server-controlled config, backward/forward compatibility across app versions, offline behavior, config caching and cold-start Prior experience in advertising industry Ability to condense complex concepts and analysis into clear and concise takeaways that drive action Curious business attitude with a proven ability to seek projects with a sense of ownership Familiarity with ML applications in Ads, recommender systems, information retrieval or related domains.