Data Scientist, AI/ML (DCO)

Overview:
Possesses and applies comprehensive knowledge across key tasks and high-impact assignments. Plans and leads major technology assignments, evaluates performance results, and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments and may supervise others.

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.