Data Scientist/Software Engineer - Remote

Overview

This position is posted by Jobgether on behalf of G2 Ops, Inc. We are currently looking for a Data Scientist/Software Engineer in Virginia (USA).

In this role, you will work at the intersection of data science, machine learning, and software engineering to transform complex technical information into structured, actionable insights. You’ll design and deploy advanced AI/ML models, optimize workflows, and collaborate closely with cross-disciplinary teams to shape innovative solutions that support mission-critical projects. This is a hands-on position where your contributions will directly enhance digital engineering capabilities, improve automation, and strengthen decision-making across large-scale systems. The environment is collaborative, flexible, and forward-thinking—perfect for a professional who thrives on impact, continuous learning, and applied innovation.

In Short

• Develop and deploy machine learning models to automate the extraction of structured data from unstructured documentation.
• Curate and preprocess training datasets, ensuring consistency, quality, and scalability.
• Implement and fine-tune transformer-based NLP models (e.g., BERT, GPT) for system design and technical document analysis.
• Build, monitor, and optimize end-to-end ML pipelines, including ingestion, training, validation, and deployment.
• Collaborate with systems engineers, software engineers, and domain experts to align data science initiatives with engineering goals.
• Integrate models into operational tools and MBSE environments, supporting usability and user feedback loops.
• Analyze model performance and apply statistical validation methods to ensure reliability and accuracy.
• Stay current with AI/ML advancements and contribute to research and innovation initiatives.
• Ensure compliance with secure code practices, data handling standards, and version control processes.

Requirements

• Experience in data science and machine learning.
• Proficiency in programming languages such as Python or R.
• Familiarity with NLP techniques and transformer models.
• Strong analytical and problem-solving skills.
• Experience with data preprocessing and model deployment.
• Ability to collaborate in a team environment.
• Knowledge of secure coding practices.
• Continuous learning attitude towards AI/ML advancements.

Benefits

• Collaborative and flexible work environment.
• Opportunities for continuous learning and professional growth.
• Impactful work on mission-critical projects.
• Engagement in research and innovation initiatives.
• Support for work-life balance.