Data Scientist

System Soft Technologies; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

System Soft Technologies is seeking an experienced data science/analytics professional to support national security through innovation in Big Data analytics. You will work in a self-contained environment handling infrastructure, development, and advanced analytics in a mission-driven setting.

Responsibilities include analyzing large datasets, designing analytics to exploit Sponsor data, researching inquiries, and contributing to threat hunting and detection development.

Qualifications

• Experience with analytics tools and methodologies across maths, statistics, or ML.
• Proficient in programming languages and scripting for data analysis.
• Experience with algorithms for classification, regression, clustering, and anomaly detection.
• Knowledge of relational databases including SQL and large-scale systems like Hadoop.
• Expertise in statistical data analysis (linear models, multivariate, stochastic methods).
• Ability to collect and visualize information and present to non-technical stakeholders.
• Experience in mission environments and handling diverse data types.
• Familiarity with MVP/data-engineering pipelines to support analytics.
• Experience in threat hunting, threat modeling, or signature development.
• Background in computer network operations, especially defense/exploitation.

Responsibilities

• Work with large, complex datasets to extract insights.
• Design and implement innovative analytics to exploit Sponsor data holdings.
• Research and report on Sponsor inquiries across domains.
• Raise proactive questions to Sponsor based on observations and data insights.
• Apply advanced analytics to solve difficult problems and improve methods.
• Participate in threat hunting and develop novel detection mechanisms.

Skills

Applied math

Probability & statistics

Formal modeling

Computational social sciences

Programming languages

Machine learning

Scripting languages

Classification algorithms

Regression algorithms

Clustering algorithms

Anomaly detection

SQL

Hadoop

Statistical analysis

Linear models

Multivariate analysis

Data visualization

Mission environments

Data pipelines

Threat hunting

Threat modeling

Network defense

Tools

SQL tooling

Job description

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

• 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
• Raising proactive inquiries to the Sponsor based on observations and proposed data analysis/exploitation
• Solving difficult, non-routine problems by applying advanced analytical methodologies, and improving analytic methodologies
• Participating in threat hunting and/or developing advanced, novel detection mechanisms to counter malicious actors

Qualifications

• Thorough 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)
• Ability to code or script in one or more general programming language
• Experience with, and understanding of, algorithms for classification, regression, clustering, and anomaly detection
• Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop)
• Expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods)
• Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties
• Experience working in a mission environment and/or with many different types of data
• Familiarity with building MVP/Prototype data engineering pipelines to support novel analytics
• Experience in signature development, threat hunting, and/or threat modeling
• Background in computer network operations, particularly network defense and/or exploitation