GDIT is looking for a Data Scientist to lead a team providing data analytics and predictive analytics support for USSTRATCOM 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 USSTRATCOM 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 (structured and unstructured), sources, metadata tags, and data analysis functions.

 

Duties and Responsibilities:

Provide services for the development and execution of strategic USSTRATCOM J6 data initiatives focusing on data engineering, data science, data analytics and Artificial Intelligence /Machine Learning (AI/ML)Ensure SCITLS services aligned with the USSTRATCOM’s AI Strategy and AI Governance models (currently under development)Provide services for advanced analytics, AI/ML model development, data governance, and implementation of innovative technologies and collaborate with USSTRATCOM stakeholders and DoD data community to deliver data-driven tools and platforms for decision-makingCoordinate with USSTRATCOM Chief Data Officer (CDO) and Knowledge Management Officer (KMO) and participate across the Command’s Boards, Bureaus, Centers, Cells, and Working Groups (B2C2WG) to interpret business, operational needs, and recommend use cases for data to align with informative decision makingEnsure all SCITLS data efforts align with the proposed USSTRATCOM Data Strategy (currently under development)Examine feasibility of a technical approach for creating a single pain of glass for data sourcesExamine capabilities for data cleansingIdentify, provide access to, and provide subject matter expertise to enable the integration and/or ingest of authoritative structured and/or unstructured data setsAppy non-traditional approaches to the management of unstructured data setsProvide data science-based solutions to customers’ structured and/or unstructured data set requirementsPerform associated role within the data stewardship/data custodian rolesEnsure data is being tagged, cataloged, and integrated into the appropriate data repositoryDeliver, operate, and maintain USSTRATCOM data catalogDevelop 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)

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WHAT YOU’LL NEED TO SUCCEED:

Required Skills:

Experience working with data analytics teams in a C4 networking environmentExperience providing technical information to senior military and/or Government officialsExperience evaluating, designing, and implementing enterprise communication technologies across geographically dispersed networks

Required Education :

Bachelor’s degree in a technical field and 5 years of experience with data analytics and predictive analytics or a Master’s degree in computer science (or a related field) with 2 years of related experience

Required Clearance:

Active TS with SCI eligibility

Desired Skills:

Demonstrated understanding of the DoD's Data Strategy and data mesh/fabric architecturesDemonstrated experience with USSTRATCOM networksExperience with AI/ML and algorithm analysisExperience in platforms/languages like Maven/Palantir, Python, R, Hadoop, SQL and LinuxExperience with DatabricksUnderstanding of methods such as Cross-Industry Standard Process for Data Mining (CRISP-DM), data visualization tools, and data governance frameworks

Desired Certifications:

Cloud Certification (AWS/Azure preferred)ITIL Foundation Certification

​GDIT IS YOUR PLACE:

Full-flex work week to own your priorities at work and at home401K with company matchComprehensive health and wellness packagesInternal mobility team dedicated to helping you own your careerCutting-edge technology you can learn fromRest and recharge with paid vacation and holidays

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