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Mid-Level Python Data Scientist [$310k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.
Annapolis Junction, MD, United States
5 days ago
Apply on www.clearancejobs.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Compensation
$310,000.0
Working hours
Regular working hours
Job source
www.clearancejobs.com

Tech stack

Databases Extract Transform Load (ETL) Elasticsearch Python (Programming Language) Machine Learning MongoDB SQL Databases Grafana Influxdb Graphite

Job description

  • Transform manual system security evaluation and authorization processes into an automated, intelligence-driven framework.
  • Leverage advanced data science, anomaly detection, and predictive modeling to enable continuous security monitoring and rapid decision-making across critical systems., * Develop and enhance automated capabilities to modernize security evaluation workflows.
  • Use Python to process, analyze, and validate complex security datasets to verify system compliance.
  • Implement machine learning and anomaly detection algorithms to monitor progress through the Risk Management Framework (RMF) lifecycle.
  • Design, construct, and maintain robust ETL pipelines integrating information from network sensors, security tools, and compliance databases.
  • Utilize Elasticsearch, SQL, MongoDB, and time-series metric databases (Grafana, InfluxDB, Graphite) for advanced data visualization and reporting.
  • Ensure data quality, pipeline health, and workflow optimization to deliver actionable security insights.

Requirements

  • Degree: Technical bachelor’s degree or equivalent experience
  • Years of experience: 12+ years
  • Total Compensation: $310k+ yearly

Apply for this position

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Apply on www.clearancejobs.com
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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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1:49 min

Handling metrics pipelines, geo-routing, and Kubernetes workload isolation

Josip Stuhli Josip Stuhli · World Congress 2023

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Visualizing Keycloak performance via standard Grafana troubleshooting dashboards

Alexander Schwartz Alexander Schwartz · World Congress 2025

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