Data Scientist, AI/ML (DCO)

Gormat

• $120K — $145K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

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

Responsibilities

  • Perform statistical analyses and machine learning to address intelligence questions and generate valuable outcomes.
  • Apply machine learning techniques to analyze data features, detect patterns, and automate anomaly detection.
  • Evaluate and implement statistical models into production in collaboration with software developers.
  • Curate and collect data from diverse sources; transform, integrate, and load data for accessibility.
  • Collaborate with Data Scientists to create monitoring tools for model performance and data integrity.
  • Interpret analytic results with analysts to refine methodologies as needed.
  • Communicate insights and results effectively to decision makers and stakeholders.
  • Document processes and models, implementing a configuration management plan for data sets.

Benefits

  • Collaborative work environment with experienced professionals.
  • Opportunities for continuous learning and research in data science technology.
  • Access to advanced analytical tools and platforms.
Full Job Description
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.

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