> Markdown version of [/jobs/ext/3553584-data-scientist](https://www.wearedevelopers.com/jobs/ext/3553584-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).

---

# Data Scientist

- **Company:** Johns Hopkins Applied Physics Laboratory
- **Location:** Laurel, MD, United States
- **Experience:** Expert
- **Salary:** $145,000.0 - $195,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Systems Engineering, Computer Vision, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Distributed Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Apache Spark, Deep Learning, Pandas, Scikit Learn, Data Management, Machine Learning Operations
- **Published:** October 2, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2997287417-2

## About the Role

* Machine learning (supervised, unsupervised, and deep learning)
 * Statistical modeling and inference
 * Python programming (Num
 * Py, pandas, scikit-learn, Py
 * Torch/Tensor
 * Flow)
 * Data engineering and ETL for analytics
 * MLOps and model deployment (CI/CD, containers, cloud)
 * Bayesian methods and probabilistic modeling
 * Experiment design and A/B testing
 * Natural language processing or computer vision (preferred)
 * Big data tools (Spark, distributed computing)
 * Domain knowledge in defense, aerospace, or national security analytics

## Description

Senior Data Scientist - Defense & Aerospace Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Data Scientist to develop advanced analytics and AI solutions for national security and space missions. You will design and deploy machine learning and statistical models, lead end-to-end data science projects, and collaborate with domain experts to deliver decision-quality insights. In APL's mission-driven, research-focused culture, you'll explore cutting-edge methods, publish and prototype, mentor junior staff, and help shape ethical, high-impact AI systems that address critical national and global challenges., * Design, implement, and validate advanced machine learning and statistical models for defense and aerospace applications

 * Lead end-to-end data science projects from problem framing through deployment and transition to sponsors
 * Collaborate with engineers, analysts, and mission experts to translate complex operational needs into analytic solutions
 * Mentor and guide junior data scientists, promoting best practices in coding, modeling, and documentation
 * Prototype, evaluate, and communicate novel AI approaches through reports, briefings, and, when appropriate, publications
 * Ensure models are robust, explainable, and aligned with ethical and responsible AI principles
 * Work with software and systems engineers to operationalize models in real-world environments
 * Engage with sponsors to define requirements, present results, and shape future research directions


## Related Videos

- [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
- [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data)

## Related Articles

- [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)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)