SCITLS Lead Data Scientist

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-making
• Coordinate 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 making
• Ensure 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 sources
• Examine capabilities for data cleansing
• Identify, provide access to, and provide subject matter expertise to enable the integration and/or ingest of authoritative structured and/or unstructured data sets
• Appy non-traditional approaches to the management of unstructured data sets
• Provide data science-based solutions to customers’ structured and/or unstructured data set requirements
• Perform associated role within the data stewardship/data custodian roles
• Ensure data is being tagged, cataloged, and integrated into the appropriate data repository
• Deliver, operate, and maintain USSTRATCOM 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)

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WHAT YOU’LL NEED TO SUCCEED:

Required Skills:

• Experience working with 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

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 architectures
• Demonstrated experience with USSTRATCOM networks
• Experience with AI/ML and algorithm analysis
• Experience in platforms/languages like Maven/Palantir, Python, R, Hadoop, SQL and Linux
• Experience with Databricks
• Understanding 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 home
• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

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