> Markdown version of [/jobs/ext/1473031-contingent-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/1473031-contingent-senior-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).

---

# Contingent-Senior Data Scientist

- **Company:** Sunayu, LLC
- **Location:** Gambrills, MD, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, JIRA, Microsoft Azure, Cyber Security, Information Engineering, Microprocessors, Distributed Systems, Elasticsearch, Field-Programmable Gate Array (FPGA), Revision Control Systems, Graph Database, Apache Hadoop, Information Retrieval, Intelligence Analysis, Python (Programming Language), Machine Learning, Neo4j, Open Source Technology, OpenShift, SQL Databases, Subversion, Scripting, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Apache Spark, Social Network Analysis, Git, Scikit Learn, Kubernetes, Information Technology, Streamlit Framework, GPT, Devsecops, Docker
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/0757b958-6486-4e46-9f1c-58e29126ec0f

## About the Role

* Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree.
 * 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master's).
 * Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
 * Proficiency in Python and at least one other scripting language.
 * Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
 * Track record of creative problem solving, active learning, and mission-focused outcomes.
 * Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift)., * Experience supporting military or intelligence community customers.
 * Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.
 * Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
 * Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
 * Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp.

## Description

* Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
 * Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
 * Work with diverse data types (structured, unstructured, open source, digital media) and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms.
 * Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.


## Related Videos

- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks)
- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)
- [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)
- [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)