Location: Seattle, WA (Bellevue)
Remote: sure, why not
Relocate: I guess, if the economics work...
Statistics Ph.D., Caltech BSCS, 10 year Microsoft (Windows Server dev then Senior Quantitative Manager). I teach University of Washington's intro Statistical Software class (R, Python, SAS, etc.)
Specialties within stats/machine learning: finanical risk (I'm a CFA and was on the FRM committee); bioinformatics (thesis and publications on statistical genetics); forecasting/optimization (current consulting work on long term adaptive capacity planning). Very into Bayesian computing and MCMC methods.
Would like to build/lead a data science team; plenty of experience translating between business and numbers, keeping fellow nerds from over-complicating data science problems.
Statistics Ph.D., Caltech BSCS, 10 year Microsoft (Windows Server dev then Senior Quantitative Manager). I teach University of Washington's intro Statistical Software class (R, Python, SAS, etc.)
Specialties within stats/machine learning: finanical risk (I'm a CFA and was on the FRM committee); bioinformatics (thesis and publications on statistical genetics); forecasting/optimization (current consulting work on long term adaptive capacity planning). Very into Bayesian computing and MCMC methods.
Would like to build/lead a data science team; plenty of experience translating between business and numbers, keeping fellow nerds from over-complicating data science problems.
Consulting page: RedmondAnalytics.com Resume: https://sergeredmondanalytics.github.io/ra-public/Serge.pdf
serge@redmondanalytics.com