Data Scientist

MANTECH; Chantilly (VA); On-site; USD 115,000 - 165,000; Full time

Job summary

ManTech seeks a motivated Data Scientist to join our team in Chantilly, VA. You will work in a self-contained Big Data environment where our team handles infrastructure, application development, and advanced analytics to support national security.

This role offers opportunities for growth, collaboration, and problem-solving in a mission-driven setting. Responsibilities include analyzing large datasets, designing innovative analytics, researching sponsor inquiries, and developing detection

Qualifications

• High School Diploma with 7+ years Python coding experience.
• Experience with data visualization and communicating insights to non-technical stakeholders.

Responsibilities

• Working with large, complex data sets
• Designing and implementing analytics to exploit Sponsor data holdings
• Researching and reporting on Sponsor inquiries
• Proactively identifying areas for analysis and raising inquiries
• Applying advanced analytical methodologies to solve non-routine problems
• Developing custom searches
• Participating in threat hunting and/or developing advanced detection mechanisms

Skills

Python

Data Analysis

Machine Learning

SQL

Education

High School Diploma

Job description

ManTech seeks a motivated, career and customer-oriented Data Scientist to join our team in Chantilly, VA.

In this dynamic role, you will join a top-tier team of Information Technology and Analytic professionals dedicated to supporting national security through innovative data science and analytics. You will work in a self-contained Big Data environment where the team manages everything from infrastructure and application development to advanced analytics. This position offers numerous opportunities for growth, collaboration, and problem-solving in a thought-provoking, mission-driven setting.

Responsibilities include but are not limited to:

• Working with large, complex, and disparate data sets
• Designing and implementing innovative ways to analyze and exploit the Sponsor’s data holdings
• Researching and reporting on a wide variety of Sponsor inquiries
• Proactively identifying areas for analysis or exploitation and raising inquiries to the Sponsor
• Applying advanced analytical methodologies to solve difficult, non-routine problems and improve analytic processes
• Developing custom searches
• Participating in threat hunting and/or developing advanced, novel detection mechanisms to counter malicious actors

Minimum Qualifications:

• High School Diploma with 7+ years of experience coding/scripting in Python
• Demonstrated knowledge of appropriate analytic tools and methodologies in one or more of the following:
  • Applied mathematics (e.g., probability and statistics, formal modeling, computational social sciences)
  • Computer programming (e.g., programming languages, math/statistics packages, computer science, machine learning, scientific computing)
• Experience in collecting information and accurately visualizing and representing it to non-technical stakeholders

Preferred Qualifications:

• Understanding of algorithms for classification, regression, clustering, and anomaly detection
• Knowledge of relational databases including SQL and large-scale distributed systems such as Hadoop
• Experience with statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling)
• Familiarity with building MVP/Prototype data engineering pipelines to support novel analytics
• Background in computer network operations, particularly network defense and/or exploitation
• Experience in signature development, threat hunting, and/or threat modeling

Clearance Requirements:

• An active TS/SCI with Polygraph is required

Physical Requirements:

• Use hands to operate a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer
• The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Constantly positions self to maintain computers in the lab, including under desks and in the server closet