What part will you play? If you’re looking for a place where you can make a meaningful difference, you’ve found it.The work we do at Markel gives people the confidence to move forward and seize opportunities,
Dominion Energy is committed to providing reliable, affordable, and increasingly clean energy that powers our customers every day. If you want to work for a purpose-driven company that values safety and collaboration, we’re looking for you.
Director Data, AI & Enterprise Business Systems Location: Richmond, Indiana Work Schedule: 9:00 AM–5:00 PM EST Work Arrangement: Hybrid Reports To: VP/CIO Position Overview: We Are seeking a strategic and technically experienced Director of Data, AI
Senior Manager, Data Analysis - Card Data AI Automation At 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
Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find
At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the
Sr. Director, Strategic Pricing And Deal Architecture Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At SCIEX, one of Danahers 15+ operating companies, our work saves
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