Data Scientist, Principal (DCO) Senior

Gormat

$120K — $150K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Degree in System Engineering or related field.
  • 10+ years experience with a Master's, 12+ years with a Bachelor's, or 16+ years with an Associate's/High School Diploma.
  • Proficient in Python for data manipulation and analysis.
  • Experience with Docker and Kubernetes for containerization.
  • Three or more years in Defensive Cyber Operations and Machine Learning.

Responsibilities

  • Analyze data using statistical and machine learning techniques to generate actionable insights.
  • Identify and transform data features, uncover hidden patterns, and automate anomaly detection.
  • Evaluate and refine machine learning models in production through collaboration.
  • Curate and integrate data from diverse sources for accessibility and analysis.
  • Work alongside Data Scientists to enhance model performance and data accuracy.
  • Communicate analytic findings clearly to stakeholders and decision-makers.
  • Document processes and models, and develop a configuration management plan for datasets.

Benefits

  • Opportunity to lead major technology assignments.
  • Exposure to cutting-edge data science techniques and technologies.
  • Collaborative work environment with data scientists and analysts.
  • Opportunity for professional development and skill enhancement in machine learning and cyber operations.
  • Access to unique intelligence projects with real-world impact.
Full Job Description
Overview
Possesses and applies a 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. May supervise others.

What You'll Be Doing:
  • Perform 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. Extract data from sources, transform and integrate data in line with existing data, and load data 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.
  • Perform documentation of all processes, models, and activities by developing, documenting, and implementing a configuration management plan for data sets.
  • Research latest data science tradecraft and technology.

What Required Skills You'll Bring:
  • Proficient in Python
  • Experience with Docker and Kubernetes
  • Experience with end to end workflows and projects
  • Three or more years of Defensive Cyber Operations experience
  • Three or more years of Machine Learning techniques and statistical model evaluation

What Desired Skills You'll Bring:
  • Demonstrated expertise 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, STIGs IAVA, Big Data Platform (BDP)
  • Strong background and skills in Linux Ubuntu CentOS RHEL, Windows, and virtual environments
  • A problem solver who can get in, be given a project, and use engineering skills to determine a solution
  • Jupyter Notebooks, Network Analysis Tools

Qualifications
Degree from an accredited college or university in System Engineering or related discipline and one of the following:
  • 10 or more years of experience with a Master's degree
  • 12 or more years of experience with a Bachelor's degree
  • 16 or more years of experience with an Associate's Degree or High School Diploma

TS/SCI with polygraph is required.

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