Senior Data Scientist - AI/ML (Defensive Cyber Operations)

Endictus•Columbia, MD

About The Position

ENDICTUS CORP. delivers advanced cyber, software engineering, and mission-focused technology solutions that support the U.S. Department of Defense and Intelligence Community. Our team develops innovative technologies that enable mission success across cyber operations, data analytics, artificial intelligence, and software engineering. We are seeking a Senior Data Scientist - AI/ML to support Defensive Cyber Operations (DCO) by developing advanced machine learning models and data-driven analytic solutions. This position offers the opportunity to work with cutting-edge AI technologies to help identify threats, detect anomalies, and provide actionable intelligence supporting national security missions. As a Senior Data Scientist, you will leverage statistical analysis, machine learning, and data science methodologies to develop innovative analytic products that support cyber defense operations and intelligence analysts. You will work with large, complex datasets to build predictive models, evaluate machine learning algorithms, identify anomalous activity, and improve cyber mission effectiveness. The ideal candidate has experience applying AI/ML techniques within cyber operations and enjoys solving challenging problems in fast-paced, mission-focused environments.

Requirements

Active TS/SCI clearance with Polygraph
Bachelor's degree in Computer Science, Data Science, Information Assurance, Information Systems Engineering, Mathematics, Statistics, or a related technical discipline and 8+ years of relevant experience
An advanced degree may be substituted for a portion of the required experience
Minimum 3 years of experience supporting Defensive Cyber Operations (DCO)
Minimum 3 years of experience developing machine learning models and performing statistical model evaluation
Experience applying statistical analysis and machine learning techniques to solve complex technical problems
Strong analytical, critical thinking, and problem-solving skills
Ability to work independently and collaboratively in fast-paced operational environments

Nice To Haves

Master's degree in a related technical discipline
Demonstrated proficiency with: Python, R, SQL
Experience manipulating and analyzing both large and small datasets
Experience with: Jupyter Notebooks, Network analysis tools, AWS cloud environments, Big Data Platform (BDP)
Knowledge of: Cisco networking concepts (CCNA-level knowledge), STIGs, IAVA processes
Strong experience administering or working within: Linux (Ubuntu, CentOS, RHEL), Windows environments, Virtualized infrastructure
Experience supporting Computer Network Operations (CNO), cyber analytics, or cloud-based software development projects
Ability to translate mission objectives into innovative engineering and data science solutions

Responsibilities

Develop, train, and deploy machine learning and statistical models supporting Defensive Cyber Operations (DCO)
Design and implement analytic solutions that provide actionable intelligence for cyber analysts and mission operators
Perform anomaly detection and behavioral analysis across large and complex datasets
Evaluate and validate machine learning models to ensure accuracy, effectiveness, and operational relevance
Develop data processing workflows and model documentation to support repeatable, scalable analytics
Analyze structured and unstructured datasets to identify trends, patterns, and emerging threats
Collaborate with software developers, cyber operators, engineers, and intelligence analysts to integrate AI/ML capabilities into operational environments
Create visualizations and reports that communicate technical findings to both technical and non-technical stakeholders
Support continuous improvement of AI/ML models and analytic methodologies
Contribute to research, prototyping, and implementation of emerging artificial intelligence technologies

Benefits

Paid time off accrued at a rate of 6.33 hours per semi-monthly pay period (19 days/152 hours annually during the first two years)
12 paid holidays that can be used as floating holidays throughout the year (11 Federal holidays plus one birthday holiday)
Compensatory Time and Flex Time (when authorized)
100% employer-paid health insurance premium or a prorated annual stipend of up to $5,000 if you opt out of the health plan
100% employer-paid dental insurance
100% employer-paid vision insurance
100% employer-paid short-term disability insurance
100% employer-paid long-term disability insurance
Life insurance (currently 2x annual salary, up to $300,000)
401(k) with employer match of up to 100% of the first 10% contributed
$500 business attire stipend (added to annual salary)
$500 fitness reimbursement
$1,500 technology reimbursement
$1,500 professional development and certification reimbursement
$5,000 adoption assistance
Employee referral bonuses: $1,000 after 30 days for each qualified referral who is hired, and $2,000 after six months for each referred employee retained beyond six months (unlimited referrals)
Paid maternity and paternity leave
Company-provided laptop and mobile phone (when telework is required), including all required software
Opportunity to earn up to half of the company's profit rate (approximately 2–3.5%) or a bonus for new business you bring in and oversee
Company-sponsored morale and team-building events