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Job ID: 2210602
Location: HERNDON , VA , US Date Posted: 2022-07-18Category: Information TechnologySubcategory: Cloud Comp EngrSchedule: Full-timeShift: Day JobTravel: NoMinimum Clearance Required: TS/SCI with PolyClearance Level Must Be Able to Obtain: NonePotential for Remote Work: NoDescription SAIC's National Intelligence Community (NIC) business unit, USG Mission and Information Technology division provides solutions and services supporting digital modernization programs in areas such as system engineering, multi-cloud computing, cyber security, data science and analytics, artificial intelligence/machine learning, quantum computing, application development, SecDevOps, cloud network operations and secure communications. We are seeking a highly motivated Data Scientist to join our multi-million dollar national intelligence program supporting the Cloud Investment Multi-Cloud Management (CIMM) team. As a contributor to the intelligence community's first multi-cloud initiative, you will be at the epicenter of emergent cloud computing technologies establishing a foundation that will evolve to include all agencies within the IC. The Data Scientist will advise in the design and management of cloud systems, applications, policies, and strategy in a cloud-agnostic based architecture. Responsibilities include:- Aggregating, maintaining, analyzing, updating, and reporting on cloud service consumption/ordering, billing, spending, and utilization metrics as well as reporting workload performance metrics such as workload placement, trends, thresholds, alerts, breaches, issues, problems, and recommendations
- Responsible for Program Estimation Review Technique (PERT) analysis
- Lead trend analysis activities utilizing BI (Business Intelligence) tools
- Active TS/SCI with Polygraph
- BS in STEM domain or related field and 9 years of experience in a cloud and/or hybrid environment (4 years of experience in lieu of degree)
- Minimum of 5 years experience specific to the skill of analytics (Tableau, Microsoft BI, Confluence etc,)
- Cloud experience with AWS, C2S
- Previous experience as a Data Scientist, Business Analyst, Business Process Analyst, Data Analyst or Requirements Analysts.
- One (1) or more years of demonstrated experience in one or more following activities:
- IaaS, PaaS and SaaS Services (compute, storage, network, security, administration, automation, application services, databases) in one or more public cloud computing platforms:
- Amazon Web Services (AWS/C2S), Microsoft Azure, Google Cloud (GCP), IBM Cloud or Oracle Cloud
- Benefit/cost analysis, data analytics and PERT techniques
- Data Analytics and Visualization tools (e.g., Tableau, Microsoft Power BI)
- IaaS, PaaS and SaaS Services (compute, storage, network, security, administration, automation, application services, databases) in one or more public cloud computing platforms:
- Demonstrated experience analyzing needs and product requirements to create a design
- Strong analysis and quality assessment skills
- Experience working on a multiple cloud platforms.
- Experience with a requirements analysis tools and processes.
- Experience migrating both custom built and enterprise apps to from on-prem to cloud.
- Experience with successful full life-cycle cloud development projects.
- Team player and has the ability to collaborate with various enterprise teams (application, networking, security) and to develop solutions and resolve issues
- Ability to apply principles and techniques of business management, computer science, engineering, and mathematical analysis and other methodology as appropriate (e.g. Six Sigma; Rational Unified Process).
- Ability to identify complex problems and review related information to develop and evaluate options and implement solutions.
- Ability to translate requirements into end-to-end designs for systems that involve multiple interfaces and supporting data repositories.
- Excellent verbal/written communications and the ability to work well independently and in a team environment
- Cloud Certifications (Certified Practitioner)
Vacancy expired!