Data ScientistCloud Engineer
Data ScientistCloud Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Position Overview
Our client is seeking a highly skilled and motivated Data Scientist to support the National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Service (NMFS) Cloud Program Office Initiative The successful candidate will be responsible for conducting assessments analyzing data implementing cloud/AI/ML capabilities and ensuring the security and operational efficiency of the cloud platform. This role involves close collaboration with NOAA stakeholders to prioritize efforts determine necessary resources and deliver highvalue cloud services aligned with NOAA Fisheries mission.
Work Location: REMOTE
Job Responsibilities and/or Success Factors
- Capture cloud and dataspecific needs and challenges by engaging with key stakeholders to understand their requirements and pain points.
- Evaluate direct support capabilities and highimpact 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 decisionmaking processes to drive clear and efficient decisionmaking 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.
- Ensure the use of Infrastructure as Code (IaC) to automate resource deployment and employ workload orchestration tools.
- Support the migration configuration and deployment of virtual networks according to design specifications.
- Ensure proper integration of network connections firewalls and load balancers provided by the government.
- Assist in the development of cloudbased AI capabilities and Machine Learning models.
- Ensure the integration of diverse data types (images documents video audio) to support AI development.
- Ensure continuous compliance with security controls and organizational policies.
- Oversee the transition to highervalue cloud services to optimize cost and performance.
- Assist with the configuration and maintenance of automated monitoring and alert tools.
- Ensure effective monitoring of data ingestion pipelines staging and production environments.
- Define and conduct evaluations against established KPIs.
- Implement agile best practices to support design development testing and deployment.
- Establish and support documentation standards and version control.
- Maintain a knowledge repository inclusive of SOPs reporting architecture diagrams configuration guidelines and network settings.
- Assist in the development and transition of AI ProofofConcepts to production environments.
- Develop comprehensive documentation knowledge transfers and training.
- Support vulnerability management protective monitoring incident management and configuration and change management.
- Implement continuous monitoring to detect and track vulnerabilities.
- Establish and implement data governance processes and policies for data lifecycle management.
- Establish standards and best practices for data integration and interoperability.
- Utilize generative AI technologies to facilitate data integration across schemas and taxonomies.
- Assist in the development of a cloud rationalization framework to guide the evaluation and prioritization of cloud assets.
- Develop detailed designs for landing zones based on approved managed services.
- Oversee the deployment and validation of proofofconcept to the configured landing zone.
- Develop comprehensive documentation for cloud landing zones.
Education and Minimum Qualifications
- Must have an active Public Trust clearance or the ability to obtain one.
- Bachelors 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.
- Strong knowledge of cloud platforms such as Google Cloud AWS or Azure.
- Familiarity with usage of cloud APIs such as gcloud (Google Cloud)
- Strong understanding of security controls and compliance requirements.
- Excellent analytical problemsolving and communication skills.
- Ability to document technical processes clearly and concisely.
- Experience working with government agencies or in a regulated environment
Education and Minimum Qualifications Must have an active Public Trust clearance or the ability to obtain one. 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. Strong knowledge of cloud platforms such as Google Cloud, AWS, or Azure. 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
Employment Type
Full Time
