Data Scientist

Socket.dev; Chantilly (VA); On-site; USD 100,000 - 140,000; Full time

Job summary

A security solutions provider in Virginia is seeking Level 2 and Level 3 Data Scientists to apply advanced data science techniques with an emphasis on cybersecurity. Responsibilities include leading teams, model development, and presenting analytical findings. Candidates must have relevant experience and a strong understanding of machine learning and data visualization techniques. TS/SCI with Poly is required.

Qualifications

• TS/SCI with Poly required.
• Level 2: 5 years relevant experience in data science or equivalent.
• Level 3: 7 years relevant experience in data science or equivalent.

Responsibilities

• Apply data science techniques for cybersecurity solutions.
• Lead teams in analyzing and interpreting data.
• Prepare visualizations and communicate findings.

Skills

Statistical methods

Predictive modeling

Machine learning

Deep learning

Data visualization

Cybersecurity knowledge

Business analytics

Data management

Communication skills

Education

Bachelor’s degree in relevant field

Tools

AWS

Spark

Kafka

Tableau

Python (TensorFlow, PyTorch)

R (tidyverse, RShiny)

Splunk

Agile/Scrum/Jira/Confluence

Job description

Overview

VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position is contingent upon program award)

What will you do?

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 (TensorFlow, 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.

Do you have what it takes?

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.