Data Scientist/Software Engineer

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Quick Position Facts!

Location: Virginia Beach, VA at our wonderful 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 Full-Time Role

Years of Industry Experience: 5+ years of relevant experience

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

Knowledge Requirements and Qualifications: 

• 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

Technical Skills:

• Programming & Data Tools
  • Proficiency in Python and R for machine learning and data analysis.
  • Experience with libraries like Pandas, NumPy, and scikit-learn for data manipulation and model building.
  • Familiarity with data visualization tools such as Matplotlib or Plotly.
• Machine Learning & Model Development
  • 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.

Bonus Skills

• Advanced NLP & LLM Techniques
  • 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).
• AI for 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
• Visualization & Reporting
  • Experience creating interactive dashboards using tools like Tableau,, Streamlit, or Power BI

Responsibilities:

• Develop and deploy machine learning models that support the automation of SysML model generation from static, text-based system documentation
• Preprocess and curate training datasets using structured and unstructured engineering content, ensuring quality and consistency across iterations
• Implement and evaluate natural language processing (NLP) techniques, including fine-tuning transformer-based models (e.g., BERT, GPT) 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 to unseen documentation
• 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, knowledge sharing, and contract deliverables
• Contribute to research and innovation, staying current with AI/ML advancements, and proposing techniques that enhance automation accuracy or efficiency
• Ensure compliance with internal development standards, including data handling, version control, model tracking, and secure code practices

What makes someone choose one company over another? Pay, benefits, training, work satisfaction, culture? What if you can have it all? At G2 Ops, we have extremely competitive pay and benefits but that is not even the best part. Our culture is what sets us apart from other companies. With us, you will not be another payroll number or a cog in the machine. We provide great value to our customers by working as a team and ensuring every member is set up for success. Our team approach allows for each member to not only provide value with their expertise but also gives them the opportunity to cross-train in other areas in which they have an interest.

Embracing AI. G2 Ops stays ahead of the competition by embracing the latest technologies, including Artificial Intelligence (AI). We are looking for team members who are excited to explore and implement AI solutions that can improve internal workflows and deliver superior results for our clients. Whether you are reducing manual processes or developing predictive models, we provide the tools and support to make AI an integral part of your work.

Let's talk salary. The annual salary range for this position is $130,000 and goes up to $150,000 based on your qualifications. We also offer a competitive benefits package and have fringe benefits offered throughout the year. The benefits package value ranges from $13,000 for a single employee, and up to $28,000 for an employee and their family. With company standard annual performance reviews in place, plus excellence awards for recognition, your performance will be rewarded and appreciated, we promise!

So, you want to work from home? Let's be honest, remote work is not always all it's cut out to be. At G2 Ops, we offer a flexible schedule to meet the needs of our employees and customers. Due to the classification level of the projects, we support, we are not able to offer fully remote opportunities at this time. As a Defense Contractor, we are frequently working with sensitive material, and therefore, we need to ensure where you access your work is secure.

You will have a shiny desk at our G2 Ops office and the ability to telework with prior approval.

Here's the thing, we have worked very hard to create an awesome culture where our employees get to come to a collaborative, exciting office environment and we want you to join the fun!

Still not convinced?  This opportunity is ideal for a highly motivated, collaborative Data Scientist who thrives in a multidisciplinary environment. You’ll contribute across a range of focus areas—including data modeling, software engineering, machine learning, and AI—while helping shape innovative solutions that transform how technical information is structured, analyzed, and applied.

What does this mean to you? We’re looking for a Data Scientist with expertise in applying AI/ML techniques to automate the extraction of structured information from unstructured, text-based documentation. The goal is to support model-driven engineering workflows by transforming existing content into usable system representations, while leveraging digital threads to preserve traceability and alignment across data sources and system artifacts.

Candidates must have hands-on experience in programming, software design principles, data analysis workflows, and the development of machine learning models.

Lastly, as we are working for the DoD, we are beholden to some requirements. The ideal candidate would already possess an active DoD Secret level clearance.

Quick Reminder, we are seeking a full-time team member; the continuation of outside employment shall not constitute a conflict with the Company’s interest, including performing work for a customer or competitor.

Congratulations, you made it all the way to the end of this job posting! We look forward to learning more about you!