Software Data Scientist-Journeyman

Vets Hired; Patuxent (MD); On-site; USD 110,000 - 170,000; Full time

Job summary

The Software Data Scientist-Journeyman at Vets Hired supports Battlespace Modeling & Simulation by developing data-driven solutions for modeling, simulation, testing, and analysis environments. You will collaborate 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, statistics, automation with Python, SQL querying, and supporting

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).

Responsibilities

• Collaborate with cross-functional teams to verify system performance.
• Build and maintain data pipelines for modeling, simulation, testing, and analysis.
• Perform data cleaning, visualization, statistical analysis, and automation using Python.
• Present findings to both technical and non-technical stakeholders.

Skills

Python programming

Data analysis

SQL querying

Statistical analysis

Data visualization

Data pipeline development

Software testing

Git version control

Problem solving

Technical communication

Education

High School Diploma

Bachelor's degree (preferred)

Tools

Docker

Airflow

Luigi

Prefect

Dagster

Ansible

Matplotlib

PostgreSQL

Git

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.