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

Endictus Corp
Columbia, United States of America
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 146K

Job location

Remote
Columbia, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Systems Engineering
Big Data
Ubuntu (Operating System)
CentOS
Network Analysis
Software as a Service
Data Infrastructure
Linux
Intelligence Analysis
Python
Machine Learning
Red Hat Enterprise Linux - RHEL
Standard Sql
Unstructured Data
Virtualization Technology
Jupyter Notebook
Computer Networking Systems
Computer Network Operations
Model Validation
Information Technology
Cyber Warfare
Data Pipelines

Job description

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., * 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

Requirements

Do you have experience in Model evaluation?, Do you have a Bachelor's degree?, The ideal candidate has experience applying AI/ML techniques within cyber operations and enjoys solving challenging problems in fast-paced, mission-focused environments., * 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, * 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

Benefits & conditions

Pulled from the full job description

  • Flextime
  • Referral program
  • Paid parental leave
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Paid time off, Our industry-leading benefits package contributes to approximately 30% of your total compensation package!
  • 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

About the company

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.

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