Data Scientist

Archer; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

ManTech seeks a Data Scientist to join the team in Chantilly, VA. You will work in a self-contained Big Data environment, handling large datasets and applying advanced analytics to support national security.

Responsibilities include researching sponsor inquiries, designing analytics, and contributing to threat hunting and detection efforts in a mission-driven setting.

Qualifications

• High School Diploma with 7+ years of Python coding/scripting experience.

Responsibilities

• Work with large, complex data sets to support national security goals.
• Design innovative ways to analyze and exploit Sponsor data holdings.
• Research and report on Sponsor inquiries across a range of datasets.
• Proactively identify areas for analysis or exploitation and raise inquiries.
• Apply advanced analytical methodologies to solve non-routine problems.
• Develop custom searches for data discovery and insight.
• Participate in threat hunting and develop detection mechanisms against threats.

Skills

Python

Data analytics

Statistical modeling

Threat hunting

SQL

Hadoop

Machine learning

Education

High School Diploma

Tools

Hadoop

SQL databases

Job description

Archer is collaborating with MANTECH to connect them with exceptional professionals for this role.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