Enterprise - Data Scientist - Datasets, Python, MATLAB

Erias VenturesAnnapolis Junction, MD
Onsite

About The Position

Erias Ventures is seeking a data scientist to join a mission-driven team. In this role, you will help transform a traditionally manual system security evaluation process into an automated, efficient, and intelligence-driven model. Your work will directly support continuous monitoring, rapid decision-making, and strengthened security across the full lifecycle of critical systems and projects. Develop and enhance automated capabilities that replace manual security evaluation and authorization processes. Use Python to process, analyze, and validate security-related data, ensuring systems and resources meet security requirements. Detect anomalies and outliers to assess progress through the Risk Management Framework (RMF) lifecycle. Identify system associations for resources based on various attributes and known system information. Design, build, and maintain ETL pipelines to collect and integrate data from multiple sources (network sensors, security tools, compliance databases). Transform and prepare data for reporting, analysis, and automated assessments. Support data engineering operations including data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights. Enable scalable, reliable dataflows that support continuous monitoring and RMF automation.

Requirements

  • Bachelor's in a quantitative field (statistics, mathematics, operations research, engineering, or computer science) plus 2 additional years of relevant experience (12 years total) (software/cloud development, data analysis, or analytics development) if no Masters Degree; or a Bachelor's and Master's degree (or higher) in a quantitative field (statistics, mathematics, operations research, engineering, or computer science) with no additional years of experience; or PhD can replace 4 years of the experience requirement (reducing to 6 years).
  • 10 years analyzing datasets and developing analytics
  • 10 years programming in R, Python, SAS, or MATLAB
  • A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Nice To Haves

  • Strong background in statistical analysis
  • Experience developing, tuning, and testing predictive models
  • Proficiency in creating analytic dashboards, visualizations, and charts
  • Elasticsearch
  • RegEx
  • Machine learning
  • Natural Language Processing
  • Regression and predictive analysis
  • Python
  • MATLAB or R
  • SQL or MongoDB
  • Metric Database (Grafana/Graphite/InfluxDB)

Responsibilities

  • Develop and enhance automated capabilities that replace manual security evaluation and authorization processes
  • Use Python to process, analyze, and validate security related data, ensuring systems and resources meet security requirements
  • Detect anomalies and outliers to assess progress through the Risk Management Framework (RMF) lifecycle
  • Identify system associations for resources based on various attributes and known system information
  • Design, build, and maintain ETL pipelines to collect and integrate data from multiple sources (network sensors, security tools, compliance databases)
  • Transform and prepare data for reporting, analysis, and automated assessments
  • Support data engineering operations including data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights
  • Enable scalable, reliable dataflows that support continuous monitoring and RMF automation

Benefits

  • Above Market Hourly Pay
  • 11% Roth or Traditional 401k with Immediate Vesting and Deposit
  • Spot Bonuses for Assisting with Business Development and Company Growth
  • Professional Development Bonuses for Certificates and Degrees
  • Company subsidized Medical Coverage
  • 100% Company Paid Vision and Dental Coverage
  • 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
  • Monthly Wellness Reimbursement
  • Paid Time Off with Flexible Work Schedules and Birthday Off
  • Amazon Prime Membership and Monthly Internet Reimbursement
  • Technology and Productivity Allowance for Equipment and Supplies
  • Morale Building and Company Events to Celebrate our Successes and Build our Community
  • Onboarding and Annual Swag
  • Company Paid Professional Development and Training
  • Referral bonus of up to $10,000 for each successful hire
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