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Jonathan WilsonJW
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Jonathan Wilson

@jonathanwilson

Data science leader and Co-Founder at Retail Scientifics, building predictive decision systems that score 100,000+ locations.

United States
Message

At Retail Scientifics, I lead end-to-end development of custom data science and AI solutions, from problem definition and model architecture through deployment and ongoing enhancement. I build predictive decision systems for market planning, site selection, pricing, and customer analytics.

My location and network models combine financial performance history, demographics, competition, foot traffic, and spatial relationships. These systems have scored 100,000+ candidate locations and quantified standalone and network-adjusted performance.

Before Retail Scientifics, I led a causal inference and experimentation team at Intuit and advanced through analytics roles at Petco, ultimately leading a predictive modeling and segmentation team. I hold a PhD in Computational Statistics and have taught business statistics at San Diego State University.

Experience

Work history, roles, and key accomplishments

RS
Current

Co-Founder & Chief Data Scientist

Retail Scientifics

Jan 2014 - Present (12 years 9 months)

Lead end-to-end development of custom data science and AI solutions, from problem definition and model architecture through deployment, executive adoption, monitoring, and ongoing model enhancement. Serve as senior technical and client leader across engagements, balancing hands-on modeling with solution architecture, project management, and stakeholder alignment.

Petco Animal Supplies logoPS

Sr. Manager – Predictive Modeling & Segmentation

Jan 2008 - Dec 2014 (6 years 11 months)

Promoted through four analytics roles over six years, ultimately leading a predictive modeling and segmentation team within Petco's analytics Center of Excellence. Managed and collaborated with data scientists, statisticians, analysts, and database engineers while delivering analytical solutions for Real Estate, Ecommerce, Advertising, Customer Satisfaction, Pricing, Merchandising, IT, and Finance

SF

Research Assistant

SPAWAR/ SDSU Foundation

Jan 2007 - Dec 2008 (1 year 11 months)

Developed Bayesian statistical models for intelligence analysis applications.

CE

Research Assistant

Center for Regulatory Effectiveness

Jan 2004 - Dec 2005 (1 year 11 months)

Conducted research on federal regulatory agencies with an emphasis on Data Quality Act developments.

Education

Degrees, certifications, and relevant coursework

CU

Claremont Graduate University

PhD, Computational Statistics

PhD in Computational Statistics from Claremont Graduate University, completed in 2013.

SU

San Diego State University

MS, Statistics

MS in Statistics from San Diego State University, completed in 2007.

TU

Tulane University

BS, Mathematical Economics

BS in Mathematical Economics from Tulane University, completed in 2003.

Tech stack

Software and tools used professionally

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