Seward Lee is a Decision Science manager at Meta with 11 years of experience applying data science to product and business problems across tech and enterprise settings. Based in the San Francisco Bay Area, he blends rigorous technical modeling with strong customer empathy to drive insights that inform product strategy and operations. His background includes hands-on roles at Oracle and Meta as well as pro bono leadership at DataKind, signaling a commitment to socially impactful analytics. A UC Berkeley political economy graduate, Seward brings interdisciplinary thinking to data problems—combining social science context with quantitative rigor. He is also an open source–minded practitioner who engages with the broader data community and has been recognized as a NASA Datanaut for cross-disciplinary data initiatives. Colleagues describe him as a manager who mentors teams to translate complex analytics into clear, usable decisions.
10 years of coding experience
10 years of employment as a software developer
BA, Political Economy, 3.88, BA, Political Economy, 3.88 at University of California, Berkeley
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