Senior Data Scientist, TS/SCI — Cyber Defense Analytics

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

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.