Quick Overview
Seniority
Mid Senior
Employment type
Employee
Work mode
Hybrid
Location
Fort Meade, MD, United States
Posted
Yesterday
SQLApache SparkAWSNumPyScikit-learnSplunkApacheHadoopJupyterKafkaPandasPythonAzureMachine LearningData Analysis
Job Description
Senior Data Scientist - TS/SCI
- Fort Meade, MD
- Science/Research Location: Fort Meade, MD Employment Type: Full-Time Clearance Required: Active TS/SCI Experience: 10+ Years Education: Bachelor's Degree Position Overview We are seeking an experienced Senior Data Scientist to support mission-critical programs in Fort Meade, MD.
The ideal candidate will have a strong background in data analysis, statistical modeling, and transforming complex datasets into actionable intelligence. This position requires a highly analytical professional who can identify trends, develop data-driven solutions, and communicate findings to technical and non-technical stakeholders.
Key Responsibilities
- Design, develop, and implement advanced data analytics, statistical models, and machine learning algorithms supporting ASOM and Defensive Cyberspace Operations.
- Analyze large-scale cybersecurity datasets, including network traffic, endpoint telemetry, system logs, authentication events, and cloud security data, to identify patterns, anomalies, and potential adversary activity.
- Develop predictive and behavioral analytics to identify emerging threats, suspicious activities, and indicators of compromise.
- Apply statistical analysis, machine learning, and data mining techniques to correlate information across multiple cyber data sources.
- Required Qualifications
- Experience in data science, applied statistics, machine learning, advanced analytics, or related technical disciplines.
- Strong programming experience with Python and SQL, including data analysis and manipulation using libraries such as Pandas, NumPy, and Scikit-learn.
- Experience developing statistical models, machine learning algorithms, anomaly detection methods, or predictive analytics.
- Experience processing, analyzing, and correlating large, complex datasets from multiple sources.
- Familiarity with data visualization, exploratory data analysis, feature engineering, and model evaluation.
- Experience with analytical tools and platforms such as Jupyter, Elasticsearch, Splunk, or similar technologies.
- Understanding of cybersecurity concepts, network communications, security telemetry, or cyber threat analysis.
- Strong analytical, problem-solving, and communication skills, with the ability to translate complex analytical findings into actionable insights.
- Desired Qualifications
- Experience supporting Defensive Cyberspace Operations (DCO), Cyber Protection Teams (CPTs), DoD, or Intelligence Community missions.
- Familiarity with Analytic Schemes of Maneuver (ASOMs) and threat-informed cyber analytics.
- Experience developing machine learning models for cybersecurity applications, including anomaly detection, behavioral analysis, threat classification, and pattern recognition.
- Familiarity with MITRE ATT&CK, adversary tactics, techniques, and procedures (TTPs), and cyber threat intelligence.
- Experience with large-scale data processing technologies such as Apache Spark, Kafka, Hadoop, or distributed analytics platforms.
- Experience working with cloud-based data and analytics environments, including AWS or Azure.
- Familiarity with SIEM/SOAR platforms, EDR telemetry, network security monitoring, and security event correlation.
- Experience with graph analytics, time-series analysis, or advanced correlation techniques.
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, Cybersecurity, or a related technical field.
- Active TS/SCI security clearance, with additional clearance requirements dependent upon mission assignment. *
- Develop Python-based analytical tools, scripts, and automated workflows to support cyber threat detection, investigation, and operational assessments.
- Support the development and refinement of ASOM analytic methodologies by translating mission requirements and adversary behaviors into measurable indicators and analytical models.
- Evaluate and improve analytic performance, including detection accuracy, false-positive rates, and model effectiveness.
- Collaborate with cyber operators, data engineers, and threat analysts to identify data gaps, improve analytic capabilities, and support mission requirements. Compensation & Benefits
- Competitive salary based on experience and qualifications
- Comprehensive benefits package
- Opportunity to support impactful national security missions
- 100% employer-paid Medical, Dental, and Vision coverage for employees and their families (CareFirst)
- 401(k) with employer match
- Generous Paid Time Off and paid holidays
- Annual bonus opportunities
- Employer-paid short-term and long-term disability insurance
- Employer-paid life insurance (150% of salary, up to $200K)
- Monthly stipend for cell phone and internet
- Additional employee perks and recognition programs Why Join Us? This is an opportunity to apply your data science expertise to meaningful, mission-critical challenges while collaborating with talented technical professionals in a dynamic environment. Interested in learning more? Apply today to explore this opportunity in Fort Meade, MD. https://www.staffed4u.com/ Apply Now
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