Data Scientist

Overview

VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (

Note:

position is contingent upon program award)

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities include a strong understanding of statistical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge of other fields such as cybersecurity or business analytics. They must be comfortable with regularly interacting with the customer/warfighter to receive feedback, guide future work, and 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)

• Responsible for applying data science techniques for cybersecurity solutions.
• May extract, transform, load, analyze, and interpret relevant IA data for timely analytic use, provide reports on patterns, anomalies, and potential security concerns, and support data management.
• May use machine learning and statistical approaches, prepare visualizations (dashboards, graphs, presentations) to communicate recommendations.
• May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation.
• Reviews and defines requirements for data science cybersecurity approaches.
• Tools: AWS, Spark, Kafka, Tableau, Python (Tensor Flow, PyTorch), R (tidyverse, RShiny), Splunk, Agile/Scrum/Jira/Confluence preferred.

Data Scientist, Level 3 (Senior)

• Oversees data science techniques for cybersecurity solutions, building on Level 2 responsibilities.
• Leads teams to extract, transform, load, analyze, and interpret IA data, provide reports on patterns, anomalies, and security concerns, and support data management.
• Advises on machine learning and statistical approaches, presents visualizations, dashboards, graphs, and presentations to communicate recommendations.
• Spearheads data engineering and data management, advises on appropriate analytical approaches toward automation.
• Establishes requirements for data science cybersecurity approaches.

Requirements:

All positions require: TS/SCI with Poly

Level 2 Data Scientist

Qualifications:

• 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.

Level 3 Data Scientist

Qualifications:

• 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.