Caleb Fleming is a Senior Data Scientist at Spotify with eight years of applied analytics and machine learning experience across media, marketing, and large-scale platform products. An American expat based in Stockholm, he has progressed from digital marketing analytics and SEM automation to designing production ML and SDK-facing data services that enable Spotify on TVs, speakers, consoles and other surfaces. His toolkit spans Python, SQL, Spark, XGBoost and NLP methods, with practical experience deploying models on AWS and operationalizing pipelines for high-dimensional, sparse data. Caleb blends hands-on model development (Lasso, random forests, GBDT) with product-facing engineering—building reproducible pipelines and APIs that move insights into live surfaces. He also brings unusual domain breadth from prior cost-estimating work for DoD programs and award-winning journalism, which sharpen his quantitative communication and stakeholder storytelling. Colleagues describe him as a pragmatic problem-solver who turns complex, noisy data into actionable product decisions.
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