Data Scientist, Level 4 with Security Clearance

Key Responsibilities

• Apply expertise across multiple data science domains including mathematical, statistical, and computational foundations
• Perform data curation, transformation, visualization, and automation of analytical workflows
• Develop reproducible analytics and optimize inefficient processes and data pipelines
• Analyze large, complex datasets and draw meaningful conclusions using mathematical, statistical, and domain expertise
• Develop analytic models and quantitative techniques for unstructured or incomplete datasets
• Perform statistical modeling, inference, forecasting, and predictive analytics
• Translate mission and analytical requirements into technical data specifications
• Develop tools and visualizations that clearly communicate analytical findings and support operational decision making
• Effectively convey complex technical concepts and analytical results to both technical and non-technical stakeholders
• Leverage experience with SIGINT datasets, RF data, or PROFORMA data to enhance mission analysis and capabilities

Required Skills and Qualifications

• Proficiency in Python and experience working within Jupyter Notebooks
• Strong background in machine learning, statistical modeling, algorithm development, and AI/ML methodologies
• Experience working with large datasets from multiple sources, including data cleaning, transformation, and analysis
• Experience using Pandas DataFrames for data manipulation, aggregation, and analytical processing
• Experience performing exploratory data analysis, hypothesis testing, and inference modeling
• Familiarity with AI/ML frameworks, data mining techniques, and software engineering principles
• Experience automating workflows and optimizing data pipelines for reproducible analytics
• Experience working with SIGINT datasets, RF data, or PROFORMA data
• Ability to apply advanced analytical methods to complex national security problems

Education and Experience

• Bachelor’s degree with 15 years of relevant experience, or
• Associate’s degree with 17 years of relevant experience
• Acceptable Degree Fields: Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• Related fields such as Computer Information Systems, Engineering, or Physical Sciences with a strong computational focus
• Other scientific disciplines may qualify if accompanied by 5 or more upper level courses in mathematics 300 level or higher and or computer science
• Broadly acceptable degrees may be accepted if supported by a Data Science Certificate from an accredited institution

Clearance Requirement

• Must possess an active TS SCI with appropriate Polygraph to be considered for this role

Pay

• $152,316 per year
• $194,122 per year
• $139,827 per year
• $124,585 per year
• $125,363 per year