Probabilistic modeling
Bayesian time series, missing-data inference, and scenario simulations, potential outcomes estimation
Hey, I'm Mason
I build end-to-end data products—pipelines, probabilistic models, APIs, and the narratives that go with them. My background spans backend development, data engineering, and data science, so nothing gets lost between layers.
Backend developer
API design, data contracts
Data engineer
Pipelines, semantic layers, real-time analytics
Data scientist
Probabilistic modeling, experimentation, Bayesian decision science
About
I am a data scientist-engineer, delivering full-stack analytics support in the manufacturing industry. I currently, live in Alaska with my family. I enjoy cooking and hiking with my wife and (now) two year-old.
Capabilities
Bayesian time series, missing-data inference, and scenario simulations, potential outcomes estimation
Crafting trustworthy experiments using the field's most advanced algorithms
Modeling the analytics semantic layer in on-prem and cloud infrastructure
Streaming and batch pipelines and transformation layers that make real-time analysis work.
About
My work pairs backend craftsmanship with probabilistic modeling, so every metric or model is grounded in well-behaved data. I’m happiest when we can whiteboard, write, and ship products that make decision-making under uncertainty clearer.
I stay close to the entire data surface area— from schema design to final narrative— so insights stay traceable.
I provide not just insights but mental models that define your data-driven culture
I work towards improving current operations and processes to make life better for developers and end-users
Writing
Let’s work together
Send a note with the decision you’re trying to improve, or ask me to sketch a roadmap for a full-stack analytics revamp.