Scott Burger is a Senior Data Scientist with 11 years of experience turning complex engineering and product data into C-suite-grade insights and self-serve analytics. He has built and operated centralized KPI infrastructures and interactive dashboards (Python, Airflow/Prefect, Tableau, Redshift/BigQuery) that influence executive decisions and reach a large fraction of company employees. Scott has a strong track record in engineering metrics—DORA/SPACE, Jira-derived operational reviews, SLOs and security patching—helping teams instrument better data collection and close gaps in observability. He’s consulted on data center analytics for Google’s CSRM and led initiatives that drove measurable revenue and productivity insights at Qualtrics and Tableau. With an academic background in astrophysics and early experience in large-scale scientific computing, he brings a rigorous experimental mindset to business problems and automation of metric design. Scott’s work is distinguished by a focus on making metrics operationally reliable and broadly usable so organizations can self-serve decisions at scale.
11 years of coding experience
17 years of employment as a software developer
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at Western Washington University
Master of Science (MSc) Astrophysics, Master of Science (MSc) Astrophysics at University College London
A collection of data science python utilities for analyzing data from the video game platform Steam
Contributions:2 PRs, 63 pushes, 2 branches in 3 years 1 month
pythonsteam-platformvideoopenscienceanalyzing
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