Summary
Ryan Christianson is a data scientist with 12 years of analytical experience, currently applying advanced statistical and machine learning techniques at Seek Now from his base in Atlanta. He holds a PhD in Statistics from Virginia Tech and a strong applied background spanning federal survey weighting and sampling at NORC, cloud-scale ML production, GIS-linked data integration, and geostatistical work in the mining sector. Ryan blends academic rigor with practical engineering—building web apps for real-time estimates, productionizing large models in cloud environments, and developing churn and ranking systems earlier in his career. He has taught statistics at both Carnegie Mellon and Virginia Tech, signaling clear communication skills for technical and non-technical audiences. Notably, his trajectory crosses industry, academia, and public-sector survey work, giving him a rare fluency in survey methodology, spatial analysis, and scalable ML pipelines.
12 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Virginia Tech
Master's degree, Statistical Practice, Master's degree, Statistical Practice at Carnegie Mellon University