Freelance Cyber Security Data Scientist Jobs (NOW HIRING)

Job Summary:
VTG is looking for Level 2 and Level 3 Data Scientists. The role involves applying data science techniques, particularly in cybersecurity solutions, to analyze data, create visualizations, and support data management efforts.
Responsibilities:
• A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters.
• Main responsibilities of data scientists include a strong understanding in statical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management.
• Depending on the specific position, data scientists may also need knowledge on other fields such as cybersecurity or business analytics due to the widespread use of data science concepts.
• Data scientists must be comfortable with regularly interacting with the customer/warfighter to receive feedback and guide future work and be confident to present information to decision makers.
• The impact an experienced data scientist can have on an organization is immense including automating manual processes, predicting future trends, and detecting anomalies.
• Data Scientist, Level 2 (Intermediate) Functional Description: In addition to being responsible for applying data science techniques for cybersecurity solutions.
• May extract, transform, load, analyze and interpret relevant IA (information assurance) data for timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management.
• May use machine learning and statistical approaches based on the analysis of the dataset.
• May prepare visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations.
• May conduct and/or support data engineering and data management.
• May assist with the selection of appropriate analytical approaches towards automation.
• Reviews and defines requirements for data science cybersecurity approaches.
• Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in Level 2, the Data Scientist Level 3 is responsible for overseeing data science techniques for cybersecurity solutions.
• May lead teams to extract, transform, load, analyze and interpret relevant IA (information assurance) data for timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management.
• May advise machine learning and statistical approaches based on the analysis of the dataset.
• May present visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations.
• May spearhead data engineering and data management.
• May advise appropriate analytical approaches towards automation.
• Establishes requirements for data science cybersecurity approaches.
Qualifications:
Required:
• TS/SCI with Poly
• Bachelor's degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
• Strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.
• Bachelor's degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
• Expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.
Preferred:
• Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process
Company:
VTG delivers force modernization and digital transformation solutions that expand America’s competitive advantage in the modern battlespace. Founded in 1866, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.