Software Engineer / Data Scientist

Overview

Develop ML/AI solutions for space domain awareness in DoD projects.

Key Responsibilities

• devsecops
• ci/cd
• jenkins
• gitlab
• docker

Tasks

-DevSecOps concepts and using CI/CD pipeline technologies such as Jenkins, GitLab, Docker

Requirements

• python
• aws
• tensorflow
• security+
• bachelor's
• agile

What You Bring

-Experience with the following Data Science technologies -Data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker) -Deep Learning libraries (i.e. TensorFlow, Keras, PyTorch, etc.) -AWS/GovCloud technologies -Must be comfortable working in a fast-paced, flexible environment, and take the initiative to learn new tools and concepts quickly. -Experience implementing the data science process, developing experiments, reporting and explaining results -Familiar with Linux/Unix operating systems -SQL commands and queries Scripting languages (e.g. Groovy, Python, PowerShell, BASH) -Familiarity with the following technologies: -Experience with common CM tools and best practices -Security+ Certification -Experience designing, developing, documenting, testing, and debugging enterprise applications -Excellent communication skills, in both spoken and written English -Bachelor’s degree in Data Science, Machine Learning, Computer Science, Mathematics or a related technical field with at least 5 years technical experience. Relevant experience may be accepted in place of a degree -Natural Language Processing (NLP) -Data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.) -Great interpersonal and communications skills, while establishing and maintaining effective work relationships with team members -Spring Boot -Active TS security clearance, with SCI eligibility preferred -AWS Cloud Practitioner Certification -Experience with Python and/or Java programming languages -Experience working in an Agile Software Development environment using the Scrum methodology -Python web technologies (i.e. Dash, Flask, Django, etc.) -Various machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.) -Must be a US Citizen due to DoD contract

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About Parsons Corporation

-Over decades it expanded into oil, petrochemical, water and infrastructure projects across the US and globally. -It leverages digital tools such as AI platforms, utility data systems, and drone integration alongside traditional design and construction. -Parsons completed high‑profile projects like major bridge, tunnel, and transit works. -Specializing in transportation, energy, environmental remediation, urban development, industrial, and cybersecurity projects. -The firm has delivered hundreds of mega‑projects worldwide, including infrastructure in the Middle East and environmental cleanup contracts.

Sector Specialisms