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Job Description: GDIT is looking for a Data Scientist to lead a team providing data analytics and predictive analytics in support of the USCENTCOM J6. This includes both Data Analytic Environment (DAE) and Data Analytic Services (DAS). Both are associated with data management, data-centricity, data infrastructure, and analytic development to enable USCENTCOM to become a data-centric organization.
The Data Analytics and Predictive Analytics team will deliver, operate, and maintain the end-to-end DAE infrastructure as well as provide a data catalog consisting of discovering, cataloging, accessing, managing, and governing geographically dispersed data, sources, metadata tags, and data analysis functions.
Duties and Responsibilities:
Provide services for the development and execution of strategic CENTCOM J6 data initiatives focusing on data engineering, data science, data analytics and AI/ML
Provide services for advanced analytics, AI/ML model development, data governance, and implementation of innovative technologies and collaborate with USCENTCOM and DoD data community to deliver data driven tools and platforms for decision-making
Coordinate with USCENTCOM Chief Data Officer (CDO) and participate across the B2C2WG to interpret business, operational needs, and recommend use cases for data to align with informative decision making
Identify, provide access to, and provide subject matter expertise to enable the integration and/or ingest of authoritative data sets
Perform associated role within the data stewardship/data custodian roles
Ensure data is being tagged, cataloged, and integrated into the data warehouse at the time of creation
Deliver, operate, and maintain USCENTCOM data catalog
Develop data pipelines to clean and ingest data into the DAE (developing, configuring automated ingest of data from authoritative sources, ensuring access to authoritative sources, and cleanup and/or tagging of data)
Education and/or Certifications: Required:
Master’s degree in data science and 5 years of experience with data analytics and predictive analytics or a Master’s degree in computer science (or a related field) with 10 years of related experience
Cloud Certification (AWS/Azure preferred)
ITIL 4 Foundation Certification
Experience leading data analytics teams in a C4 networking environment
Experience providing technical information to senior military and/or Government officials
Experience evaluating, designing, and implementing enterprise communication technologies across geographically dispersed networks
Demonstrated understanding of the DoD's Data Strategy and data mesh/fabric architectures
Demonstrated experience with USCENTCOM networks
Active TS/SCI eligibility required
Years of Experience
10 + years of related experience
* may vary based on technical training, certification(s), or degree
ITIL 4 Foundations - ITIL
Project Management Professional (PMP) - Project Management Institute (PMI)
Less than 10%
U.S. Citizenship Required
Salary and Benefit Information
The likely salary range for this position is $156,000 - $234,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. View information about benefits and our total rewards program.
About Our Work
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.