Data Scientist

MANTECH•Chantilly, VA

1d•$114,600 - $190,200•Onsite

About The Position

MANTECH seeks a motivated, career- and customer-oriented Data Scientist to join its team in Chantilly, Virginia. The role supports national security in a self-contained Big Data environment, where the team manages infrastructure, application development, and advanced analytics. The position offers opportunities for growth, collaboration, and problem-solving in a mission-driven setting. An active TS/SCI with Polygraph is required.

Requirements

High school diploma and 7 or more years of experience coding or scripting in Python.
Demonstrated knowledge of appropriate analytic tools and methodologies in applied mathematics and/or computer programming, such as probability and statistics, formal modeling, computational social sciences, programming languages, math/statistics packages, computer science, machine learning, or scientific computing.
Experience collecting information and accurately visualizing and representing it to non-technical stakeholders.
Active TS/SCI clearance with Polygraph.

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, such as linear models, multivariate analysis, stochastic models, and sampling.
Familiarity with building MVP or 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

Work with large, complex, and disparate data sets.
Design and implement innovative ways to analyze and exploit the Sponsor’s data holdings.
Research and report on a wide variety of Sponsor inquiries.
Proactively identify areas for analysis or exploitation and raise inquiries to the Sponsor.
Apply advanced analytical methodologies to solve difficult, non-routine problems and improve analytic processes.
Develop custom searches.
Participate in threat hunting and/or develop advanced, novel detection mechanisms to counter malicious actors.