Summary
Jaime Almeida is a seasoned data science leader with a decade of experience building and deploying machine learning solutions across startups, consulting, and enterprise settings. Currently managing Forward-Deployed Data Science at Braze, he blends hands-on ML engineering with client-facing delivery to operationalize models that drive product and business impact. His background as an industrial and systems engineer informs a pragmatic focus on process improvement, observability, and scalable pipelines developed at Formation, BCG, and OfferFit. Jaime has taught NLP at the graduate level and transitioned from manufacturing analytics to product-centric ML, giving him rare cross-domain fluency. He maintains an active GitHub presence and describes himself as a Staff Data Scientist/ML engineer, signaling both technical depth and leadership readiness. Based in San Jose, he’s known for turning complex operational constraints into reproducible, production-ready ML systems.
10 years of coding experience
15 years of employment as a software developer
Bachelor’s Degree Industrial Engineering, Bachelor’s Degree Industrial Engineering at Georgia Institute of Technology
Data Science Bootcamp - Ken Kennedy Institute, Data Science Bootcamp - Ken Kennedy Institute at Rice University
Master of Science (M.S.) Data Science, Master of Science (M.S.) Data Science at University of New Haven
English, Spanish