Software Data Scientist-Journeyman

Amewas•Patuxent River, MD

6d•Onsite

About The Position

At AMEWAS, we don’t just support defense- we shape it. For over 40 years, we’ve been a trusted partner of the Department of Defense (DoD) by providing cutting-edge engineering, testing, and evaluation for U.S. Navy weapons systems. Our people are the heart of our mission. Across our headquarters in California, Maryland, and offices in Orlando, FL, and San Diego, CA, you'll find a diverse and driven team committed to making a real impact for our Nation’s Warfighters. If you're ready to grow your skills, be challenged by meaningful work, and contribute to something bigger…this is where you belong. Come do work that matters. Join AMEWAS. The Position: AMEWAS is seeking a highly motivated and talented Software Data Scientist-Journeyman to support Battlespace Modeling & Simulation. The salary range of this position is $100,000.00 - $144,700.00 and is commensurate with experience. This position is not eligible for remote work; on-site support is required. About the location: Patuxent River, MD, located in the California-Lexington Park area, is Maryland’s #1 City Hiring the Most High-Tech Workers . To learn more about the surrounding area, please visit: www.visitstmarysmd.com Position Background: The Analysis, Debrief, and Test (ADT) Branch supports the development, integration, and testing of the Joint Simulation Environment (JSE) Technical Baseline (JTB) product suite. The software products comprising the JTB support modeling and simulation (M&S) environments; trainer systems; test and evaluation (T&E); analysis; live, virtual and constructive (LVC); research and development (R&D) activities for DoD agencies and its international partners. All products are government owned, developed and managed.

Requirements

HS Diploma or equivalent
5 years of relevant work experience
5 years of professional experience with Python 3.11+ in scripting, automation and data processing workflow
5 years of professional experience with Pandas and NumPy for data manipulation, cleaning, aggregation and numerical computation
3 years of experience with SQL (PostgreSQL) for data querying, data modeling and performance-optimized queries
Familiarity with best practices in software development, testing and code quality (unit tests, integration tests, data validation checks, etc.)
Experience designing, building and validating data pipelines in a production, research or test environment
Strong understanding of data science fundamentals (statistics, hypothesis testing, data cleaning, exploratory data analysis (EDA), etc.)
The ability to work with large complex datasets and perform data wrangling, transformation and feature engineering
The ability to translate analysis into clear visual summaries and narratives for the customer
Experience with version control systems (Git) and collaborative workflows
The ability to obtain and maintain a DoD Top Secret Security Clearance

Nice To Haves

Bachelor’s Degree in Engineering Technology, Cyber Security, Computer Science, Information Technology, Mathematics, Operations Research, Data Analytics or Engineering
2 years of experience in data visualization using Matplotlib and Seaborn for exploratory analysis and performance/metrics reporting
Familiarity with SQL management tools (PGAdmin4, DBeaver, etc.)
Experience with Luigi or similar workflow/orchestration tools (Airflow, Prefect or Dagster) for building and managing data pipelines
Experience with containerized or automated environments (Docker, Ansible or similar tools)
Strong problem-solving skills
The ability to work independently and collaboratively in cross-functional teams
Excellent written and verbal communication skills
The ability to document processes and present findings to both technical and non-technical stakeholders
Experience working in a Verification and Validation (V&V), test or quality assurance environment

Responsibilities

Collaborates with cross-functional teams to ensure the systems meet rigorous performance standards
Partners with the Planning and Reporting (P&R) team to identify components and capabilities requiring verification and validation
Collaborates with the P&R team on the best analytical strategies to answer complex questions
Takes ownership of system data by cleaning, analyzing and visualizing the information
Extracts actionable insights, validates system performance and reports your findings back to the Test and Execution (T&E) team