Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.
Job Summary
- Seeking a Data Scientist to support mission-critical cybersecurity efforts by developing advanced analytics to detect, analyze, and mitigate emerging threats to critical U.S. systems
- The ideal candidate will work in a collaborative environment with software engineers and threat analysts, this role focuses on modeling complex, multi-source data to generate actionable intelligence
- The ideal candidate will apply statistical, machine learning, and graph-based techniques to transform large, disparate datasets into scalable solutions that enhance threat detection and prevention capabilities
Primary Responsibilities
- Develop and implement statistical, machine learning, and graph-based algorithms to analyze complex cybersecurity datasets
- Clean, normalize, and structure disparate data sources from globally distributed environments
- Translate mission needs and qualitative analyst processes into quantitative models and software prototypes
- Create data visualizations and analytic outputs for both technical and non-technical stakeholders
- Design and implement descriptive and predictive analytics to support threat detection and response
- Evaluate and validate model performance using standard metrics and analytic techniques
- Guide and support development of scalable analytics solutions for large datasets
- Collaborate with cybersecurity analysts, software engineers, and cloud teams to transition analytics into production
- Develop and maintain data pipelines and workflows supporting continuous analysis and model improvement
- Support cybersecurity missions by contributing to threat intelligence generation and analysis
- Apply knowledge of networking and adversary tradecraft to enhance analytic models and insights
Required Qualifications
- Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or related quantitative field (advanced degrees may substitute for experience)
- 7+ years of experience in two or more of the following:
- Machine learning or artificial intelligence
- Data mining or advanced analytics
- Statistical modeling
- Software engineering with data analysis tools (e.g., Python, R, SAS, MATLAB)
- Proficiency in Python and Jupyter Notebooks
- Experience with SQL and relational databases
- Experience with ElasticSearch, Kibana, or OpenSearch
- Understanding of networking concepts within a cybersecurity environment
- Experience working with analyst teams to develop data visualizations and insights
Desired Qualifications
- Experience with graph analytics, data pipelines, and IP-based network data
- Familiarity with Java
- Experience with Windows Server management and Power BI Report Service
- Background supporting cybersecurity missions and threat intelligence analysis
- Understanding of adversary tactics, techniques, and procedures (TTPs)
Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.
