Statistical Modeling Jobs in Richmond, VA

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Senior Manager, Data Analysis

Capital One

profile Richmond - USA

Senior Manager Data AnalysisAt Capital One data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database cutting edge technology in 1988! Fast...

13 days ago
Full Time

Manager, Data Analyst Audit

Capital One

profile Richmond - USA

Manager Data Analyst - AuditAt Capital One data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database cutting edge technology in 1988! Fast...

30+ days ago
Full Time

Machine Learning Data Science Engineer

Captech Consulting

profile Richmond - USA

CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many oppo...

30+ days ago
Full Time

System Analyst

Tri-force Consulting Services, Inc.

profile Richmond - USA

Name of position: System AnalystLocation: 600 E. Broad St. Richmond VANote: Hybrid model for on-site/telework (1 /day a week on site is preferred). job descriptionThere is a need for a full-time Data/Systems analyst to support enhancements and fixes for the MES Care Management Solution (CRMS). This...

30+ days ago
Full Time

Senior Manager Data Analysis Aml

Capital One

profile Richmond - USA

Senior Manager Data Analysis - AMLAt Capital One data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database cutting edge technology in 1988...

30+ days ago
Full Time