Job Description: DXC Technology is a leading global technology services provider helping the worlds largest enterprises and public sector organizations modernize mission-critical systems, optimize operations, and accelerate innovation through AI, cloud, security, and enterprise technology solutions. Our
Job Description: DXC Technology is a leading global technology services provider helping the worlds largest enterprises and public sector organizations modernize mission-critical systems, optimize operations, and accelerate innovation through AI, cloud, security, and enterprise technology solutions. Our
Business Analyst Intermediate Location: North Charleston, SC Remote (Candidate must currently reside in Central or Eastern Time Zone) Duration: 6 Months Contract Interview Process: One Round Virtual Interview Key Responsibilities Coordinate and maintain survey distribution schedules
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS165, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Provide operational support for AWS and Azure cloud environments, including IaaS and PaaS services. - Manage full
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS022, T4, Band 7 Job-Specific Essential Duties and Responsibilities: - Provide technical leadership and oversight for enterprise cloud operations, ensuring cloud environments are securely provisioned, configured, monitored, and
Immediate need for a talented Data Engineering - Lead. This is a Fulltime opportunity with long-term potential and is located in Charleston, SC (Onsite). Please review the job description below and contact me ASAP if you
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