Summary
Lauren Howard is a Senior Data Scientist with 7 years of experience turning high-volume, messy data into enterprise-grade insights that drive operational efficiency and trust. She has led global teams at Nielsen and now supports analytics for Realtor.com's Avail platform, delivering scalable pipelines, anomaly detection systems, and patented methodologies that measurably improved maintenance workflows and data quality. Lauren combines strong statistical foundations (causal inference, Bayesian methods) with practical engineering—refactoring legacy SAS/Java to PySpark, deploying Airflow-monitored anomaly detection across 45k+ weekly points, and building APIs to democratize programmatic data access. She’s hands-on with NLP and LLMs, having deployed an Ollama Mistral LLM to classify operational comments at 88% accuracy and automate decisioning. Pragmatic and results-focused, she thrives at the intersection of technical depth and business impact, with a background in environmental science that informs a disciplined, experiment-driven approach to complex systems.
7 years of coding experience
10 years of employment as a software developer
BSc Environmental Earth Sciences, BSc Environmental Earth Sciences at University of East Anglia
Environmental Earth Sciences with a Year Abroad in Australasia, Environmental Earth Sciences with a Year Abroad in Australasia at La Trobe University
Spanish, English