Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can
Overview Edgewater Federal Solutions is seeking a Full Stack Object Oriented Programmer to support a major national laboratory. Responsibilities Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical
Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
About Roadrunner Venture Studios Roadrunner Venture Studios is the nations leading platform for founding breakthrough ventures in frontier technology. We partner with scientists, engineers, and entrepreneurs to turn deep technology into real companies. Our work spans
Century Automotive Service Corporation, a Mapfre USA company, is growing—and we’re looking for a Reinsurance & Loss Trends Analyst to join our team either remotely or in a hybrid capacity based in Albuquerque, New Mexico. Summary
At UnitedHealthcare, were simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health
About Sandia Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting‑edge work in a broad array of areas. Some of the
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