Data Scientist/Software Engineer - G2 Ops : Job Details

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Join to apply for the Data Scientist/Software Engineer role at G2 Ops, Inc.

Location: Virginia Beach, VA at our G2 Ops office.

Work Setting: In person, some remote opportunity and/or flexible working hours, not a fully remote position.

Looking to Start: May/June 2025

Salary Range: $130-$150K plus benefits

Openings: 1

Years of Industry Experience: 5+ years of relevant experience

Security Clearance Requirement: Must be able to obtain and maintain Active DoD Secret Clearance

• Bachelor's or Master's of Science in Data Science, Computer Science, AI/ML, Software Engineering, Computational Science, Information Systems (with Data Analytics or AI Concentration) or related degree

• Programming & Data Tools: Proficiency in Python and R for machine learning and data analysis. Experience with libraries like Pandas, NumPy, and scikit-learn. Familiarity with data visualization tools such as Matplotlib or Plotly.
• Experience developing and fine-tuning machine learning models, including supervised and unsupervised learning. Applied knowledge of deep learning frameworks such as TensorFlow or PyTorch. Familiarity with transformer-based architectures (e.g., BERT, GPT) and usage of Hugging Face Transformers. Ability to design and implement basic model training pipelines, including data ingestion, preprocessing, and evaluation.
• Software Development Lifecycle (SDLC): Participation in the end-to-end ML lifecycle: data prep, model training, evaluation, deployment, and monitoring. Familiarity with version control systems (e.g., Git) and basic software engineering practices.
• Database and Data Handling: Working knowledge of SQL and NoSQL databases (e.g., MongoDB, Apache Cassandra, Oracle, MySQL). Experience building or consuming ETL pipelines for structured data preparation.

• Hands-on experience with large language models (LLMs) using OpenAI API, RAG, or embedding models.
• Familiarity with prompt engineering for model fine-tuning or inference optimization.
• Understanding of vector databases (e.g., Qdrant, Pinecone) and semantic search techniques.
• Use of MLOps tools for CI/CD pipelines in AI (e.g., MLflow, Kubeflow, SageMaker).
• Systems Engineering: Experience working with SysML, MBSE tools, or digital engineering pipelines. Understanding of how to map or extract system design intent from technical documentation using NLP.
• Experience creating interactive dashboards using tools like Tableau, Streamlit, or Power BI.

• Develop and deploy machine learning models that support automation of SysML model generation from static, text-based system documentation.
• Reprocess and curate training datasets using structured and unstructured engineering content, ensuring quality and consistency.
• Implement and evaluate NLP techniques, including fine-tuning transformer-based models to extract relevant system design information.
• Build and maintain scalable ML pipelines, including data ingestion, feature engineering, training, validation, and deployment workflows.
• Collaborate with software engineers, systems engineers, and domain experts to translate technical documentation into structured, model-ready data.
• Analyze and optimize model performance, applying statistical techniques and metrics to validate reliability, accuracy, and generalization.
• Support the integration of ML models into operational tools, including MBSE environments, and assist in testing, debugging, and refining based on user feedback.
• Document technical approaches, model training procedures, and experimental results to support reproducibility and knowledge sharing.
• Contribute to research and innovation, staying current with AI/ML advancements, and proposing techniques to enhance automation.
• Ensure compliance with internal development standards, including data handling, version control, model tracking, and secure coding practices.

Our culture emphasizes teamwork, cross-training, and embracing the latest AI technologies. We offer competitive pay, benefits, and a collaborative office environment. This role is ideal for a motivated Data Scientist experienced in AI/ML techniques, with an active DoD Secret clearance preferred.

We look forward to learning more about you!