Data Scientist

MANTECH•Chantilly, VA

6d•$114,600 - $190,200•Onsite

About The Position

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.

Requirements

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)
Demonstrated knowledge of appropriate analytic tools and methodologies in one or more of the following: 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
An active TS/SCI with Polygraph is required

Nice To Haves

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

Responsibilities

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