Software Data Scientist-Journeyman

Vets Hired

$90K — $120K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • High School Diploma or equivalent required; Bachelor's degree preferred in relevant fields.
  • 5 years of relevant professional experience.
  • 5 years of experience with Python (3.11+) for automation and data processing.
  • 5 years of experience using Pandas and NumPy.
  • 3 years of experience with SQL, preferably PostgreSQL.
  • Experience in designing and validating data pipelines and automation processes.
  • Ability to obtain and maintain required DoD security clearance.

Responsibilities

  • Develop and validate data-driven solutions for modeling and simulation.
  • Collaborate with cross-functional teams to verify system performance.
  • Analyze complex datasets and generate actionable insights.
  • Clean and visualize data while conducting statistical analysis.
  • Automate tasks using Python and optimize SQL queries.
  • Support verification and validation activities through testing and documentation.
  • Present findings effectively to both technical and non-technical stakeholders.

Benefits

  • Opportunities for professional development and training.
  • Collaborative work environment with cross-functional teams.
  • Potential involvement in high-impact simulation and modeling projects.
  • Support for obtaining necessary security clearances.
Full Job Description
Job Description:

Job Summary

The Software Data Scientist-Journeyman supports Battlespace Modeling & Simulation by developing and validating data-driven solutions for modeling, simulation, testing, and analysis environments. The role involves collaborating with cross-functional teams to verify system performance, analyze complex datasets, build and maintain data pipelines, and generate actionable insights. Responsibilities include data cleaning, visualization, statistical analysis, automation using Python, SQL querying, and supporting verification and validation activities. The position also requires ensuring software quality through testing, documentation, and collaboration with technical teams while presenting findings to both technical and non-technical stakeholders.

Education, Experience & Qualifications
  • High School Diploma or equivalent.
  • 5 years of relevant professional experience.
  • 5 years of experience with Python (3.11+) for scripting, automation, and data processing.
  • 5 years of experience with Pandas and NumPy.
  • 3 years of experience with SQL (PostgreSQL).
  • Experience designing, building, and validating data pipelines.
  • Strong understanding of statistics, hypothesis testing, exploratory data analysis (EDA), and data validation.
  • Experience with Git version control and collaborative development.
  • Ability to obtain and maintain required DoD security clearance.
  • Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Cyber Security, Information Technology, or related field (preferred).
  • Experience with data visualization tools (Matplotlib), workflow orchestration tools (Luigi, Airflow, Prefect, Dagster), Docker, or Ansible (preferred).

Knowledge & Skills
  • Python programming and automation.
  • Data analysis, cleansing, and feature engineering.
  • SQL database querying and optimization.
  • Statistical analysis and data science methodologies.
  • Data visualization and reporting.
  • Data pipeline development and validation.
  • Software testing and code quality practices.
  • Version control using Git.
  • Problem-solving and analytical thinking.
  • Technical documentation and communication.
  • Ability to work independently and within cross-functional teams.


Working Place:

Patuxent, Maryland, United States

Company :

2026 July 30 - AMEWAS

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