Data Scientist

• Process, store, and exploit publicly available information (PAI) and commercially available information (CAI) to support data driven decision making.
• Conduct exploratory data analysis, perform large scale data queries, and build scalable ETL pipelines using Python, Spark, Synapse, and Neo4j in an Azure cloud environment.
• Develop and implement machine learning models and automated analytics across multi source datasets.
• Clean, organize, integrate, and maintain data models; develop dynamic visualizations, dashboards, and reports that communicate findings to technical and non technical stakeholders.
• Collaborate with military personnel, partner nations, policy makers, and cross functional teams to identify data needs, translate requirements into analytical solutions, and deliver fused intelligence products.
• Document analytic methodologies, balance accuracy with operational timelines, and provide briefings, presentations, and decision support materials.
• Conduct customer outreach, track stakeholder satisfaction, and contribute to reporting and accountability mechanisms.

• 4+ years of experience in data engineering, including ETL development, data modeling, data integration, and geospatial datasets.
• 4+ years of experience using big data technologies such as Spark, Elastic or Snowflake.
• Experience with programming languages such as Python.
• Experience working within the IC and DoD joint environment.
• Knowledge of automation, artificial intelligence (AI) and machine learning (ML) techniques.
• Ability to manage multiple projects on tight deadlines while clearly conveying technical concepts to non technical audiences.
• Ability to work collaboratively across teams to achieve objectives and translate stakeholder needs into actionable solutions.
• TS/SCI clearance.
• HS diploma and 8+ years of experience in mathematics, statistics, or data science, or an associate's degree in Mathematics, Statistics, Engineering, or Data Science and 4+ years of experience in mathematics, statistics, or data science.

• Experience with intelligence oversight policies and data governance standards.
• Experience with cloud based data solutions in the Azure ecosystem.
• Experience with graph databases such as Neo4j or Cosmos DB.
• Experience with natural language processing (NLP) and automated analytics.
• Experience implementing ML or AI solutions.
• Excellent analytical skills for querying and interpreting large data sets.
• Excellent verbal and written communication skills.
• Excellent organizational and client facing skills.
• Bachelor's degree in Mathematics, Statistics, Engineering, or Data Science.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Projected compensation range for this position is $99,000.00 to $225,000.00 annually (USD). Salary is determined by location, education, skills, and experience.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.