Senior Data Modeler The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a senior data modeler to develop data models for data assets and implementation of a cloud-based data management platform that will support
Senior Manager, Premium Support Engineer (Databolt) As a Premium Support Engineer, you will be the primary technical authority and strategic partner for our highest-priority enterprise customers. You will bridge the gap between high-scale software engineering and
Salesforce Federal Public Sector Solution Engineer Be part of Salesforces high-energy Federal Public Sector Solution Engineering (SE) team, where your technical expertise meets a higher purpose. In this role, you arent just selling software - you
Senior Risk Associate The Operational Risk Management (ORM) Loss Data team is a dedicated and dynamic team of risk professionals responsible for collection, analysis, and reporting of operational loss data for the Company. Operational loss data
Together We Innovate. Together We Change. Want to play a critical role in accelerating the organizations AI strategy by strengthening the enterprise data foundation? Have three years of experience in data analytics, data governance, data engineering,
Responsibilities Cardinal Technology Systems Corp. is a government IT solutions provider servicing commercial and government initiative in various parts of the United States. We are currently seeking a Data Analytics Engineer to work for our company.
Tiger Analytics is looking for experienced Senior Consultant/ Manager to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side