Senior Data Scientist - TS/SCI

TalentOps; Fort Meade (MD); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) with employer match

Annual bonus opportunities

Employer-paid disability insurance

Cell phone and internet stipend

Comprehensive benefits package

Job summary

TalentOps seeks a Senior Data Scientist for mission-critical programs in Fort Meade, MD. The role emphasizes data analysis, statistical modeling, and transforming complex datasets into actionable intelligence for cyber operations.

Ideal candidates have 10+ years in data science, strong Python/SQL skills, and a TS/SCI clearance. You will work with interdisciplinary teams on analytics, dashboards, and threat detection across large data landscapes.

Qualifications

• Experience in data science, statistics, machine learning, or related disciplines.
• Strong programming skills in Python and SQL with data manipulation libraries.
• Experience building statistical models, anomaly detection, or predictive analytics.
• Ability to process and correlate large datasets from multiple sources.
• Familiarity with data visualization and model evaluation.

Responsibilities

• Design and implement advanced data analytics, models, and ML algorithms.
• Analyze large cybersecurity datasets to identify patterns and activity.
• Develop predictive and behavioral analytics to detect threats.
• Correlate data across diverse cyber sources and report findings.

Skills

Data science

Python

SQL

Statistics

Machine learning

Data analysis

Communication

Threat analytics

Education

Bachelor's Degree

Master's Degree

Tools

Jupyter

Elasticsearch

Splunk

Apache Spark

Kafka

Hadoop

Job description

Position Overview

Location: Fort Meade, MD

Employment Type: Full-Time

Clearance Required: Active TS/SCI

Experience: 10+ Years

Education: Bachelor's Degree

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.