About Us At ENFRA, we blend a rich history with a forward-looking vision. With over 100 years of experience, we are a pillar of stability in the energy infrastructure industry and a leader in innovative energy
Company Description Cint is a global leader in research and measurement technology connecting brands, researchers, academics, or anyone with a question, to a network of over 800 suppliers representing millions of engaged respondents in 130+ countries.
About Us At ENFRA, we blend a rich history with a forward-looking vision. With over 100 years of experience, we are a pillar of stability in the energy infrastructure industry and a leader in innovative energy
Job Title: Data Engineer, Senior Work Place Flexibility: Hybrid Legal Entity: Entergy Services, LLC *The referred location for position is New Orleans, The Woodlands, Texas will be considered * Job Summary/Purpose The Data Engineer Senior is
The College of Business at Loyola University New Orleans invites applications for a full-time, tenure-track Assistant Professor in Finance beginning Fall 2027. The ideal candidate will have a robust background in finance, with demonstrated expertise in
Deposit Pricing Strategy, Senior Manager The Deposit Pricing Strategy, Senior Manager leads the development, execution, and governance of enterprise-wide deposit pricing strategies across all customer segments to support balance sheet growth, liquidity, net interest margin (NIM),
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as
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 with
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 with