DATA SCIENTIST/CLOUD ENGINEER (393) - REMOTE - URGENT

Job Number: 393

Job Category: GovTech

Job Title: DATA SCIENTIST/CLOUD ENGINEER (393) - REMOTE - URGENT

Job Type: Full-time

Clearance Level: Public Trust

Work Arrangement: Remote

Salary: 132K -180K

Background

• Capture cloud and data-specific needs and challenges by engaging with key stakeholders to understand their requirements and pain points
• Evaluate direct support capabilities and high-impact cloud services that can drive significant value for the organization
• Develop robust service delivery models for efficient and effective delivery of cloud services and AI/ML capabilities
• Refine decision-making processes to drive clear and efficient decision-making within the CPO
• Ensure Fisheries assumes all inherent governmental responsibilities, including developing requirements for future procurements and approving technologies for its service catalog
• Assist in the implementation and management of a centralized management platform to provide visibility and control over the cloud environment
• Support the migration, configuration, and deployment of virtual networks according to design specifications
• Establish and support documentation standards and version control
• Maintain a knowledge repository inclusive of SOPs, reporting, architecture diagrams, configuration guidelines, and network settings
• Utilize generative AI technologies to facilitate data integration across schemas and taxonomies

Requirements

• Bachelor's degree in business Analysis, Data Science, Computer Science, Information Technology, or a related field
• Proven experience in business analysis and cloud engineering. Preferably also AI/ML development, and cloud operations
• Familiarity with usage of cloud APIs, such as gcloud (Google Cloud)
• Strong understanding of security controls and compliance requirements
• Excellent analytical, problem-solving, and communication skills
• Ability to document technical processes clearly and concisely
• Experience working with government agencies or in a regulated environment

Preferred

• Strong knowledge of cloud platforms such as Google Cloud, AWS, or Azure