Data Scientist IV

Location: Fort Meade, Maryland

Employment Type: Full-Time

Compensation: $212,000 + Comprehensive Benefits

Security Clearance Required

Candidates must possess an active TS/SCI clearance with a current NSA-issued Full Scope Polygraph (FSP). This is a mandatory requirement. Candidates without an active NSA-issued Full Scope Polygraph cannot be considered.

Transform Complex Data into Actionable Intelligence

A leading government contractor is seeking an experienced Data Scientist IV to support mission-critical national security initiatives by developing advanced analytical solutions that transform complex data into meaningful intelligence.

This role is ideal for an experienced data scientist who enjoys solving challenging analytical problems using machine learning, statistical modeling, artificial intelligence, and advanced mathematics. You'll work with massive, complex datasets while collaborating with multidisciplinary teams to develop innovative solutions that directly support national security missions.

If you're passionate about extracting meaningful insights from data and applying advanced analytical techniques to real-world challenges, we'd love to hear from you.

Position Highlights

• Full-time, permanent opportunity
• Competitive salary: $212,000
• Mission-critical national security work
• Advanced machine learning and data science projects
• Large-scale structured and unstructured data environments
• Collaborative engineering and analytics teams
• Long-term career growth
• Opportunities to work with cutting-edge technologies and advanced analytical methods

Key Responsibilities

• Develop advanced machine learning models, statistical analyses, and predictive algorithms to support complex analytical challenges.
• Design and implement data science solutions that extract meaningful insights from large and complex datasets.
• Develop qualitative and quantitative analytical methods for characterizing, assessing, and interpreting structured and unstructured data.
• Apply mathematical, statistical, computational, and domain-specific knowledge to solve mission-driven problems.
• Design and evaluate data models while assessing model performance, sensitivity, and accuracy.
• Translate operational and mission requirements into technical data science solutions.
• Perform advanced data processing, cleansing, transformation, and visualization.
• Develop reproducible workflows and data pipelines that support scalable analytics.
• Communicate complex technical findings to both technical and non-technical stakeholders.
• Recommend technical solutions based on evolving data collection, storage, processing, and analytical capabilities.
• Collaborate with software engineers, data engineers, analysts, and subject matter experts throughout the project lifecycle.

Required Qualifications

• Active TS/SCI clearance with a current NSA-issued Full Scope Polygraph
• Bachelor's degree in:
  • Mathematics
  • Applied Mathematics
  • Statistics
  • Applied Statistics
  • Machine Learning
  • Data Science
  • Operations Research
  • Computer Science

OR

• Bachelor's degree in a related technical discipline such as:
  • Computer Information Systems
  • Engineering
  • Physics
  • Chemistry
  • Biology
  • Astronomy
  • Other computational science disciplines

Applicants with related degrees must demonstrate significant coursework in advanced mathematics and/or computer science.

A broader range of degrees may be considered when accompanied by a Data Science Certificate from an accredited college or university.

• 15 years of relevant experience with a Bachelor's degree

OR

• 17 years of relevant experience with an Associate's degree

Relevant experience should include multiple areas such as:

• Machine Learning
• Data Science
• Artificial Intelligence
• Statistical Analysis
• Predictive Modeling
• Data Mining
• Data Modeling
• Data Management and Curation
• Advanced Algorithms
• Software Engineering
• Workflow Development
• Data Visualization
• Programming using Python or other high-level programming languages
• Advanced mathematical modeling
• Numerical methods
• Time series analysis
• Graph theory
• Model evaluation and sensitivity analysis

Experience across multiple technical domains is strongly preferred.

Preferred Qualifications

Experience with one or more of the following:

• Artificial Intelligence
• Advanced Statistical Modeling
• Large-scale data processing
• Workflow automation
• Data visualization
• Machine learning model deployment
• Big Data analytics
• Scientific computing
• Cloud-based analytics platforms
• Software engineering best practices

Technical Environment

Preferred experience includes:

• Python
• C or similar programming language
• Machine Learning
• Artificial Intelligence
• Data Mining
• Statistical Analysis
• Predictive Analytics
• Data Modeling
• Data Visualization
• Numerical Methods
• Graph Theory
• Workflow Automation
• Data Engineering
• Big Data Technologies

Compensation & Benefits

• Competitive Salary: $212,000
• Comprehensive Medical, Dental & Vision Insurance
• Retirement Savings Plan
• Paid Time Off
• Paid Holidays
• Professional Development Opportunities
• Continuing Education Support
• Collaborative engineering and analytics environment
• Long-term career advancement opportunities

Why Join This Opportunity?

• Apply advanced data science techniques to solve complex national security challenges.
• Work with massive datasets utilizing cutting-edge machine learning and artificial intelligence technologies.
• Collaborate with highly skilled engineers, analysts, and scientists in a multidisciplinary environment.
• Influence mission-critical decisions through innovative analytical solutions.
• Continue developing your expertise in advanced mathematics, statistics, machine learning, and data science while supporting meaningful work.

Apply Today

If you're an experienced Data Scientist with an active TS/SCI clearance and NSA-issued Full Scope Polygraph looking to solve complex analytical challenges supporting national security, we'd love to hear from you.

Qualified candidates will receive additional information regarding the organization, technologies, and program during the interview process.