Ksenia Saenko is a data scientist with a decade of experience applying analytics to product strategy, user experience, and growth across tech and consumer goods. After earning an MS in Data Science from NYU and a BS in Applied Economics from Cornell, she moved from forecasting and consumer research at Schuman Cheese into fraud detection at Capital One and growth/marketing analytics at Lyft. Currently at Spotify, she blends rigorous statistical modeling, A/B testing, and machine learning to inform product decisions at scale. Her background in both market research and large-scale product analytics gives her a rare ability to translate consumer insights into measurable product impact.
10 years of coding experience
4 years of employment as a software developer
MS, Data Science, MS, Data Science at New York University
Bachelor of Science - BS, Applied Economics and Management, Bachelor of Science - BS, Applied Economics and Management at Cornell University
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