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# Data Scientist - Datasets, Python, MATLAB

- **Company:** Erias Ventures, LLC
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $225,000.0 - $273,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Cloud Engineering, Computer Programming, Databases, Information Engineering, Extract Transform Load (ETL), Elasticsearch, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, MongoDB, Natural Language Processing, Performance Tuning, Regular Expressions, SAS (Software), SQL Databases, Grafana, Information Technology, Influxdb, Graphite
- **Published:** September 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9e3e223cfe7a09d8

## About the Role

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.
ExperienceBachelor'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).

Required skills:

 * 10 years analyzing datasets and developing analytics
 * 10 years programming in R, Python, SAS, or MATLAB

Desired skills:

 * 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)

## Description

We are 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