Software Data Scientist-Journeyman

Vets Hired•Patuxent, MD

19d•Onsite

About The Position

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.

Requirements

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.
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.

Nice To Haves

Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Cyber Security, Information Technology, or related field.
Experience with data visualization tools (Matplotlib).
Experience with workflow orchestration tools (Luigi, Airflow, Prefect, Dagster).
Experience with Docker.
Experience with Ansible.

Responsibilities

Develop and validate data-driven solutions for modeling, simulation, testing, and analysis environments.
Collaborate with cross-functional teams to verify system performance.
Analyze complex datasets.
Build and maintain data pipelines.
Generate actionable insights.
Perform data cleaning and visualization.
Conduct statistical analysis.
Automate processes using Python.
Query SQL databases.
Support verification and validation activities.
Ensure software quality through testing and documentation.
Collaborate with technical teams.
Present findings to technical and non-technical stakeholders.