Sr. Data Scientist
Senior
Analytics
Business Intelligence
Dashboards
Data Analysis
Data Analytics
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Science
Data Visualization
Data Warehouse
Database
Databases
Elasticsearch
ETL
Grafana
Graphite
Influxdb
Integration
MATLAB
Nosql Databases
Regex
Reporting and Analytics
Risk Analytics
SQL
Job Description
Themis Insight seeks a Senior Data Scientist to join its security-focused team on site in Linthicum Heights, MD. This role centers on advanced security analytics, RMF automation, and the development of ETL data pipelines, demanding a strong quantitative background and security clearance at the TS/SCI level with a polygraph.
Responsibilities
- Use Python as the primary language to process data and assess the security status of resources and systems.
- Identify outliers to monitor the progression of systems through the Risk Management Framework lifecycle.
- Determine which System a Resource belongs to by comparing the Resource's attributes against known potential System information.
- Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources (network sensors, security tools, compliance databases), transform the data for analysis and reporting, and load it into target data repositories to support continuous monitoring and automated assessments.
- Support data engineering operations including data quality validation, pipeline monitoring, and optimization of data workflows to ensure reliable, scalable, and timely delivery of security-related data for RMF automation and decision-making.
Requirements
- TS/SCI with a Polygraph
- A master's degree or higher from an accredited institution in a quantitative discipline (examples: statistics, mathematics, operations research, engineering, or computer science).
- Ten years of experience analyzing datasets and developing analytics, and ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
- An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can substitute for a Master’s degree.
- A PhD in a quantitative discipline can substitute for four years of experience.
- Background in statistical analysis.
- Experience with building, tuning, and testing predictive models.
- Experience creating analytic charts and dashboards.
Technologies
- Python
- R
- SAS
- MATLAB
- Elasticsearch
- RegEx
- Machine learning
- Natural Language Processing
- SQL
- Mongodb
- Grafana
- Graphite
- InfluxDB
Benefits
- Competitive health, dental, and vision plans with 100% paid premiums.
- 401k: The company contributes 6% even if you don't.
- Time Off: 11 standard holidays and 25 days of PTO.
- Career development: Career counseling and individualized development plans, including education and training.
- Employee referral bonuses for successful hires.