At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto. Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking,
Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical
Overview Tier One Technologies is looking for a Tier1 Threat Management Specialist to support our US Government client. This hybrid contract-to-hire position can be originated in Falls Church, VA; Raleigh, NC or Eagan, MN. SELECTED CANDIDATES
GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s
Type of Requisition:Incumbent Clearance Level Must Currently Possess:None Clearance Level Must Be Able to Obtain:None Public Trust/Other Required:NACI (T1) Job Family:Interns Job Qualifications: Skills:Collaboration, Prioritization, Teamwork Certifications:None Experience:0 + years of related experience US Citizenship Required:No
Manager, Data Science As Manager, Data Science, you will manage a data science team and work with cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning. What Youll Do Attract,
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 product
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 product