We are hiring a
Sr. Data Scientist to work in
Linthicum Heights, MD. Position location is subject to change based on central MD client's needs.
Required: TS/SCI with a Polygraph
Description: As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project.
Essential Duties and Responsibilities: - Leverage Python as a primary language to process data to accurately determine if resources and systems are secure
- Look for outliers to help track the progress of systems through the Risk Management Framework lifecycle.
- Identify which System a Resource belongs to determined by various attributes of the identified lost Resource 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 Risk Management Framework automation and decision-making.
Individual Capabilities/Experience Required: - Bachelor's and Master's degree or higher from an accredited college or university in a quantitative discipline (e.g., 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 be substituted for a Master's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience.
- Background in statistical analysis
- Experience with building, tuning, and testing predictive models
- Experience creating analytic charts and dashboards
Individual Capabilities/Experience Desired: - Elasticsearch
- RegEx
- Machine learning
- Natural Language Processing
- Regression and predictive analysis
- Python
- MATLAB or R
- SQL or Mongodb
- Metric Database (Grafana/Graphite/InfluxDB)
We have all the PERKS! You are our most valuable resource - your ambition, your knowledge, your creativity. We offer an industry-leading set of benefits to supplement your normal salary compensation. We have you covered with flexible ways to balance work and home life, full health benefit premium coverage, and generous contributions toward your retirement.
- Competitive health, dental, and vision plans with 100% paid premiums.
- 401k: We contribute 6% even if you don't!
- Time Off: 11 standard holidays, and 25 days of PTO
- Career Development: Get career counseling and individualized career development plans, including education and training.
- Employee referral bonuses for successful hires
