Data Scientist, Level 3 Security Clearance

Overview

Independent Software is a consulting, product, and solutions firm dedicated to the practical application of software and system engineering technologies to solve complex problems. We bring together world class engineers with proven engineering best practices, domain expertise, commercial technologies, and proven agile management approaches to create high value solutions aimed at helping our customers meet their most critical business and mission objectives.

We focus on continual learning and evolution, encourage training and certifications in emerging technologies, and strive to recruit talented people who focus on doing what they do best with no red tape.

• Great people deserve even better benefits, from comprehensive healthcare coverage and generous leave time to discounts with all our vendors.
• You are not just a job title. That''s why we tip the work-life balance scale in your favor. It''s not about being billable, it''s about being valuable.
• Whether you''re working on-site or in our offices, your role at Independent Software is just as critical to our success as your coworker''s.
• We''re constantly researching and implementing the latest technology, so you''ve always got the right tools at your disposal.
• As we''ve grown, we''ve retained that small company feel with an open-door policy.
• Independent Software supports the causes our employees care about.
• Teamwork and a collaborative environment help you maximize your potential.
• The work we do is exciting and critical; you are helping keep the nation safe and secure.
• We host a variety of fun employee and family events throughout the year.
• Competitive salary and robust health, dental, and vision plans, plus disability, life insurance, and retirement benefits.
• A generous Paid Time Off and Holiday package and opportunities for paid training and conferences.
• Strong work-life balance and a supportive culture.

Data Scientist, Level 3 — Annapolis Junction, MD — Full Time

• As a Data Scientist Level 3, you will apply advanced data science, artificial intelligence, and machine learning techniques to support mission-critical national security operations.
• You will work closely with the CNO community to analyze complex datasets, assess emerging technologies such as large language models (LLMs), and develop data-driven solutions that enhance cyber capabilities and operational effectiveness.
• You will transform large-scale, unstructured data into actionable intelligence through statistical modeling, machine learning, and advanced analytics.
• Leveraging strong Python expertise, you will build data pipelines, automate workflows, and develop analytical tools to support Computer Network Exploitation (CNE) mission needs.
• Apply data science techniques across mathematical, statistical, and computational domains to solve complex mission problems.
• Analyze and assess large language models (LLMs) for applicability to CNE capabilities and operational use.
• Perform data aggregation, normalization, and transformation on large-scale structured and unstructured datasets.
• Develop and implement statistical models, machine learning algorithms, and predictive analytics solutions.
• Build and optimize data pipelines and workflows to support reproducible analytics.
• Conduct exploratory data analysis, hypothesis testing, and inference modeling.
• Create data visualizations and dashboards to communicate analytical findings.
• Translate mission requirements into technical data specifications and analytical workflows.
• Support cyber operations by analyzing tools, techniques, and mission data within the CNO environment.
• Communicate analytical findings and model outputs to both technical and non-technical stakeholders.

• Minimum Qualifications (one of the following):
• Master’s degree and eight (8) or more years of relevant experience; OR
• Bachelor’s degree and ten (10) or more years of relevant experience; OR
• Associate’s degree and twelve (12) or more 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…