RYAN SCHAUB
Winchester
Summary
Senior Principal Data & AI/ML Systems Architect combining production Data Science and ML, governed cloud data platform adminstration, agentic AI development workflows, and business-facing AI services to accelerate enterprise analytics, data science, and revenue-impact decision systems. Expert at translating ambiguous executive challenges into governed, multi-million dollar AI/ML production pipelines.
Overview
8
8
years of professional experience
Work History
Senior Principal Data Scientist & AI/ML Engineer
Epicor
Remote
04.2022 - 05.2026
- Primary cloud platform architect responsible for standing up and owning governance of multiple Data & AI cloud platforms including Azure Synapse Analytics, Azure Data Factory, and Azure Databricks for internal development workflows within Enterprise Data & Analytics org.
- Deployed and maintained custom AI Agents via Microsoft Copilot Studio enterprise GPTs and Databricks Genie spaces enabling non-technical stakeholders to interact with trusted data, KPIs, and ML outputs via natural language prompting.
- Hired, managed, and trained team of two Senior Data Scientists while also training and mentoring Data Engineering and Business Intelligence teams in technical best-practices in cloud workflows.
- Spearheaded development and business adoption of Go-to-Market Revenue Intelligence Platform on Azure Databricks using ensemble of multiple machine learning models spanning multiple stages within Epicor's marketing and sales pipeline funnel.
- Developed and maintained CI/CD of end-to-end Data, Machine Learning, and NLP pipelines to categorize and predict many of the company's major financial and product-related KPIs such as segmented product revenue, global product bookings, customer and product churn likelihood, customer health scores, and product enhancements from customer feedback sentiment.
Senior Staff Data Technologist
RPX Corporation
11.2018 - 03.2022
- Developed and deployed SMB prospect pricing model for IP data and analytics software product, assisting Sales team in closing > $1M in first year of implementation.
- Automated alias-to-entity normalization and corporate relationship mapping with > 95% accuracy, > 10x increase in operational efficiency against previous manual workflow, and 30% duplicate entity reduction using ETL, string similarity, contextual matching, Python and plpgSQL in AWS Redshift.
Data Science Intern
Fishbowl
05.2018 - 08.2018
- Ran A/B testing for notification timing and used Google Cloud Natural Language API/App Script for entity and sentiment analysis, informing backend logic changes for retention.
Education
M.S. - Data Science
Georgia Tech
B.A. - Cognitive Science, CS/Data Science focus
UC Berkeley
Certificate - undefined
AWS Cloud Computing
Generative AI Engineer -
Databricks Academy
Azure Databricks Platform Architect -
Databricks Academy
Skills
- Team Leadership
- Data & AI Strategy Leadership
- Generative & Agentic AI Systems Engineering
- Data Science & ML Engineering
- Cloud Data Engineering
- Microsoft Azure
- Databricks
- AWS
HEALTHCARE
Sharp Healthcare EHR 2008-2013 support in Cerner/EHR environment, PHI, HIPAA workflows, patient encounter indexing, scan QA, document metadata and record linkage.
Timeline
Senior Principal Data Scientist & AI/ML Engineer
Epicor
04.2022 - 05.2026
Senior Staff Data Technologist
RPX Corporation
11.2018 - 03.2022
Data Science Intern
Fishbowl
05.2018 - 08.2018
B.A. - Cognitive Science, CS/Data Science focus
UC Berkeley
Certificate - undefined
AWS Cloud Computing
M.S. - Data Science
Georgia Tech
Generative AI Engineer -
Databricks Academy
Azure Databricks Platform Architect -
Databricks Academy