Full stack data scientist: experienced building cloud-based production machine learning systems, conducting/designing experiments (multi-factorial experiment design, quasi-experimental and observational causal inference, sequential analysis), defining product metrics, and working with Pytorch, large language models (LLMs), search and RAGs. Experience in forecasting infrastructure demand and planning. Background in statistics: interested in survival analysis, causal inference, Bayesian modeling and Markov Chain Monte Carlo. Fluent in Python and SQL. Proficient with cloud computing platforms (AWS and GCP). Skills: Python, SQL, PyMC, Spark, GCP, DBT, Dagster, PyTorch, Hugging Face, Shell, Bayesian Methods, Causal Inference, Survival Analysis, Brazilian Jiu JitsuBlack Belt in Brazilian Jiu Jitsu, Masters Nogi World Champion at Brown Belt