Diego Gimenez is a Senior Data Scientist and team lead based in Madrid with 8 years of experience building production ML systems and analytics pipelines across startups and scale-ups. He combines a psychology background with MS degrees in Business Analytics and International Business to bridge quantitative research, product strategy, and engineering—especially in NLP, recommender systems, and ETL at scale. Diego has repeatedly turned prototypes into production (deploying models as REST APIs on GCP/AWS and optimizing PySpark pipelines for 300% speedups) and improved model performance through generative AI and drift detection. He excels at aligning data science work with business priorities, having led teams to measurable product gains like a 19% accuracy lift and conversion increases from 41.9% to 50%. Comfortable across R, Python, Spark, and cloud stacks, he also contributes to civic tech and academic communities, reflecting a blend of applied ML, teaching, and open collaboration. An analytical thinker with a psychologist’s view of users, he brings nuance to feature engineering, experimentation, and stakeholder communication.
8 years of coding experience
7 years of employment as a software developer
B.s.c Psychology, B.s.c Psychology at Universidad Metropolitana (VE)
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at Hult International Business School
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Diego Gimenez - Senior Data Scientist 2 - Team Lead