Data Scientist, AI/ML (DCO)

Gormat; Maryland; On-site; USD 140,000 - 195,000; Full time

Job summary

Gormat in the United States seeks a seasoned cybersecurity and data science specialist to research, design, develop, and test OS-level software, ML models, and data analytics for intelligence applications.

You will curate diverse data sources, build ML classifiers, and collaborate with analysts and developers to deliver actionable insights while documenting all processes and methods.

Qualifications

• Active TS/SCI with polygraph is required for consideration.
• Bachelor's degree in a relevant field and 8+ years of experience; advanced degree may substitute.
• Minimum 3 years of Defensive Cyber Operations experience and ML/statistical model evaluation.
• Experience with Python, R, SQL and data analysis for large datasets.

Responsibilities

• Perform and apply statistics, ML, and analytic approaches to intelligence questions.
• Develop classifiers, anomaly detection systems, and automate data processes.
• Evaluate models and deploy into production with software teams.
• Curate data from diverse sources and load into data stores for access.
• Collaborate with Data Scientists to monitor model performance and accuracy.
• Interpret results with analysts and refine analyses as needed.
• Communicate results to key decision makers and stakeholders clearly.
• Document processes, models, and activities with a CM plan for datasets.
• Research latest data science tradecraft and technology.

Skills

Active TS/SCI with polygraph

Defensive Cyber Operations

Machine learning

Python

R

SQL

Linux

Windows

Jupyter Notebooks

Data analysis

Education

Bachelor's degree in a relevant field + 8 years of experience

Tools

AWS

Cisco CCNA

STIGs/IAVA

Big Data Platform (BDP)

Job description

Overview

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications, aerospace, business, scientific, and general computing applications. Set operational specifications and formulate and analyze software requirements. May design embedded systems software. Apply principles and techniques of computer science, engineering, and mathematical analysis.

Overview

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications, aerospace, business, scientific, and general computing applications. Set operational specifications and formulate and analyze software requirements. May design embedded systems software. Apply principles and techniques of computer science, engineering, and mathematical analysis.

What You'll Be Doing

• Perform and utilize statistics, machine learning, and analytic approaches to answer key intelligence questions, producing results and reusable products that provide real value to Intelligence Analysts.
• Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of a process.
• Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, and periodically re-evaluate and refine machine learning models being used in production.
• Curate and collect data from a variety of traditional and non-traditional sources, including extracting data, transforming and integrating it with existing data, and loading it into data stores for access by others.
• Collaborate with Data Scientists to develop processes and tools to monitor and analyze model performance and data accuracy.
• Work with analysts to interpret analytic results and refine analysis as needed.
• Effectively communicate results and ideas to key decision makers, analysts, and other stakeholders and provide information as appropriate.
• Document all processes, models, and activities by developing and implementing a configuration management plan for data sets.
• Research the latest data science tradecraft and technology.

What Required Skills You'll Bring

• Active TS/SCI with polygraph required for consideration.
• Bachelor's degree in a relevant field and 8 years of experience; an advanced degree may be considered in lieu of years of experience.
• 3+ years of Defensive Cyber Operations experience.
• 3+ years of experience with machine learning techniques and statistical model evaluation.

What Desired Skills You'll Bring

• Master's degree in a relevant field and 4 years of experience.
• Demonstrated proficiency with R or Python and SQL to manipulate data and draw insights from large and small data sets.
• Exposure to AWS (Amazon Web Services), Cisco (CCNA), and/or STIGs/IAVA and Big Data Platform (BDP).
• Strong background and skills in Linux (Ubuntu, CentOS, RHEL), Windows, and virtual environments.
• A problem solver who can take on a project and use engineering skills to determine a solution.
• Experience with Python, Jupyter Notebooks, and network analysis tools.

TS/SCI With Polygraph Is Required.