Data Scientist

VT Group (VTG)

Sully Square (VA)

On-site

USD 50,800 - 119,200

Full time

14 days+

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Job summary

A defense contractor in Virginia seeks experienced Data Scientists to apply advanced analytical techniques and engage with decision makers in cybersecurity solutions. Responsibilities include analyzing data, creating visualizations, and advising automation approaches. Level 2 requires 5 years of experience, while Level 3 requires 7 years. Ideal candidates will possess a relevant degree and strong knowledge of machine learning and data visualization tools.

Qualifications

5+ years of relevant experience in data science, mathematics, statistics, or business analytics.
Expert knowledge of machine learning principles and techniques for Level 3 position.

Responsibilities

Extract, transform, load, analyze, and interpret relevant data.
Provide reports on patterns, anomalies, and security concerns.
Support data management and communicate recommendations through visualizations.

Skills

Data visualizations

Large language models (LLMs)

Machine learning principles

Statistical methods

Predictive modeling

Education

Bachelor's degree or equivalent

Tools

AWS

Python (TensorFlow, PyTorch)

R (tidyverse, RShiny)

Tableau

Splunk

Job description

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Overview

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

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 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 experience level descriptions and qualifications are listed below.

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. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e.g., tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process preferred, the Level 2 Data Scientist (Intermediate) is responsible for designing data science techniques for cybersecurity solutions. May adjust and create machine learning and statistical approaches based on the analysis of the dataset. May analyze visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May conduct data engineering and data management. May lead 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.

Do you have what it takes?

Requirements

All positions require: TS/SCI with Poly

Level 2 Data Scientist

Data Scientist Level 2 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.
Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist

Data Scientist Level 3 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.
Includes expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies

Seniority level