Data Scientist

5d5 days ago

Momentum Engineering, Inc.

US · Full-time · $100,000 – $135,000

About this role

Momentum Engineering, Inc. fosters an employee-centric culture with deep technical expertise from employees holding advanced degrees in engineering and computer science. Our team includes professionals with security clearances and full-scope polygraphs for sensitive national security initiatives. High retention reflects professional growth and mission focus.

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 role involves modeling complex, multi-source data to generate actionable intelligence using statistical, machine learning, and graph-based techniques. Transform large datasets into scalable solutions for threat detection.

Daily work includes cleaning and structuring disparate data sources, creating visualizations for stakeholders, and designing descriptive and predictive analytics. Collaborate with software engineers, threat analysts, and cloud teams to transition analytics into production. Apply networking knowledge and adversary tradecraft to enhance models.

Work in a collaborative environment equipped with industry-leading certifications and commitment to continuous learning. Exceptional retention ensures long-term stability and expertise for customers’ critical needs. Contribute to threat intelligence generation supporting cybersecurity missions.

Requirements

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

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
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