Manager, Data and Analytics Engineering The Manager, Data and Analytics Engineering leads a team of engineers responsible for delivering scalable, secure, and high-performing data platforms, pipelines, and analytics solutions across business domains. This role drives end-to-end execution of data
Company Description Artificial Intelligence. Automation. Cloud Engineering. Advanced Analytics. For Enterprises, these are key factors of success. For us, theyre our core expertise. We work with global iconic brands. We bring them a unique value proposition through market-leading
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship The IT Director of AI & Automation will lead the strategy, development, and deployment of artificial intelligence
Type of Requisition:Regular Clearance Level Must Currently Possess:None Clearance Level Must Be Able to Obtain:None Public Trust/Other Required:None Job Family:Interns Job Qualifications: Skills:Accounting, Finance, Financial Reporting and Analysis, Microsoft Office, Problem Solving Certifications:None Experience:0 + years
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake Store Support Center. General Summary:
Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver. We combine mission experience, domain knowledge and technology expertise with the things partners
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake Store Support Center. Summary of
Job Title Responsible for delivering projects on time, on budget, with quality based on the most current project baseline. Define and drive engineering vision and technical strategy aligned with business goals. Guide architecture decisions, technology stack
Digital Marketing Strategist The Digital Marketing Strategist (DMS) is a part of the Growth Team and reports to the Director of Marketing. The DMS at JMARK serves as the primary architect and analytical source of truth
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS117, P3, Band 6 Job-Specific Essential Duties and Responsibilities: - Analyze AWS and Azure cloud environments to support provisioning, operations, lifecycle management, and performance monitoring across enterprise
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
Key Responsibilities: • Own and improve the reliability, availability, observability, and operational supportability of Maximus UKs Azure Databricks platform, Azure data services, and associated data pipelines and data products. • Design and implement monitoring, alerting, health
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS219, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Operate, maintain, and sustain enterprise directory, federation, and Single Sign-On (SSO) services in support of DHS
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