> Markdown version of [/jobs/ext/3020909-journeyman-ai-ml-data-scientist](https://www.wearedevelopers.com/jobs/ext/3020909-journeyman-ai-ml-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Journeyman AI/ML Data Scientist

- **Company:** Nabout Leidos
- **Location:** United States
- **Experience:** Starter
- **Salary:** $57,850.0 - $104,575.0
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Systems, Data as a Services, Data Mining, Apache Hadoop, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Tensorflow, Salesforce.Com, SQL Databases, Unstructured Data, Workflow Management Systems, Enterprise Software Applications, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Model Validation, Appian, Generative AI, Scikit Learn, Information Technology, HuggingFace, AWS Glue, Apache Kafka, Data Management, Virtual Agents, Servicenow, Databricks
- **Published:** September 21, 2026
- **Apply:** https://jobs.military.com/career/343860/ai-ml-data-scientist-remote

## About the Role

* Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering, Information Systems, Operations Research, or a related technical field.\n
 * 0-2 years of experience in data science, machine learning, artificial intelligence, advanced analytics, or a related discipline.\n
 * Foundational experience developing, evaluating, or supporting machine learning models.\n
 * Working knowledge of:
\n
\n

 + Python\n
 + SQL\n
 + Scikit-Learn\n
 + TensorFlow and/or PyTorch\n
 + Hugging Face or similar AI/ML frameworks\n
\n

 * Foundational experience with predictive analytics, statistical analysis, data mining, and model evaluation.\n
 * Experience working with structured and/or unstructured datasets.\n
 * Exposure to Generative AI, Large Language Models, or prompt engineering.\n
 * Exposure to Retrieval Augmented Generation concepts or architectures.\n
 * Familiarity with cloud and data platforms such as AWS, Azure, GovCloud, Databricks, Apache Spark, Hadoop, Kafka, Airflow, or AWS Glue.\n
 * Ability to support integration of AI/ML capabilities with APIs, workflow tools, enterprise applications, or data services.\n
 * Strong written and verbal communication skills.\n
 * U.S. Citizenship required.\n
 * Ability to obtain and maintain a DHS Public Trust.\n, * Exposure to agentic AI, embeddings, vector databases, or AI orchestration frameworks.\n
 * Familiarity with ServiceNow, Power Platform, Appian, Salesforce, or similar enterprise workflow environments.\n
 * Experience supporting Agile, rapid prototyping, hackathons, academic projects, or MVP-style delivery environments.\n



## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)
- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)