Data Scientist

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.

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

: • 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

: • 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