Senior Data Scientist - TS/SCI

TalentOps; Fort Meade (MD); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental & Vision coverage

401(k) with employer match

Paid time off & holidays

Annual bonus opportunities

Life insurance (up to 200K)

Job summary

TalentOps is seeking a Senior Data Scientist to support mission-critical programs at Fort Meade, MD. The role requires strong skills in data analysis, statistics, and machine learning to transform complex datasets into actionable intelligence. A TS/SCI clearance is required.

The ideal candidate will analyze cybersecurity data, build predictive models, and communicate findings to both technical and non-technical stakeholders. Excellent collaboration with cyber operators and engineers is essential.

Qualifications

• 10+ years of experience in data science or related fields.
• Strong background in data analysis, statistical modeling, and translating data into actionable insights.
• Experience handling cybersecurity datasets and threat analytics.

Responsibilities

• Design, develop, and implement advanced data analytics, statistical models, and machine learning algorithms in support of mission programs.
• Analyze large-scale cybersecurity datasets to identify patterns, anomalies, and potential adversary activity.
• Develop predictive and behavioral analytics to detect threats and indicators of compromise.

Skills

Data science

Applied statistics

Machine learning

Python

SQL

Pandas

NumPy

Scikit-learn

Data visualization

Jupyter

Elasticsearch

Splunk

Apache Spark

Kafka

Hadoop

AWS

Azure

SIEM

SOAR

EDR

MITRE ATT&CK

Education

Bachelor'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.