Molly Goerss
Manager Data Engineering
Colorado Springs, Colorado, United States
Summary
👤
Senior🎓
Top SchoolMolly Goerss is a data engineering manager with 11 years of experience building reproducible, production-grade data pipelines for actuarial, planning, and research organizations. She currently leads MLOps strategy and a small engineering team at The Hartford (and recently took on a manager role at EWTN), driving modern model deployment, automated training/monitoring, and mentoring engineers to senior promotions. Her background spans secure federal research with Census microdata, city-scale spatial data engineering for NYC Planning, and large-scale satellite image analysis—bringing deep expertise in spatial statistics, privacy-aware methods, and automation. Known for translating complex statistical and spatial problems into transparent, documented data products, she blends hands-on coding with stakeholder-facing communication to deliver practical, auditable solutions.
10 years of coding experience
6 years of employment as a software developer
Statistics, Statistics at University of WashingtonGeography, Geography at University of Colorado Boulder
Github Skills (59)
pluto10
nyc10
data-recovery10
occupancy10
database-access9
fact9
acs9
recovery9
geodesy9
geography9
geo9
elevation9
rdbms8
database-design8
wfs8
Programming languages (5)
Github contributions (5)
NYCPlanning/aue
Feb 2020 - Aug 2020
Calculations for best- and worst-case scenario distributions of proximity-restricted establishments
Contributions:38 commits, 10 PRs, 19 pushes in 5 months
establishmentdistributionscalculationsscenarioworst-case
mgraber/street-based-demographics
Oct 2018 - May 2019
Contributions:79 commits, 1 PR, 39 pushes in 6 months
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