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# Senior AI Workflow Scientist

- **Company:** Nyla Technology Solutions
- **Location:** United States
- **Experience:** Expert
- **Salary:** $187,000.0 - $221,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Computational Linguistics, Computer Programming, Databases, Data Structures, Data Visualization, Database Queries, DevOps, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Tableau (Software), Technical Data Management Systems, Visual Analytics, Jupyter Notebook, Pinecone, Qdrant, Pytorch, Large Language Models, Prompt Engineering, Llamaindex, Generative AI, Git, Matplotlib, Pgvector, Pyspark, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Plotly, Machine Learning Operations, Automation Anywhere, Docker, ChromaDB
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d7f5990aa0df5f71

## About the Role

Exploratory Data Analysis (EDA) & Intelligence Modeling: Mastery in executing EDA on large datasets to extract actionable insights, resolve RFIs, and apply mathematical modeling and statistical analysis for intelligence applications.

Analytic Modernization & AI Workflows: Proven success innovating the analytic lifecycle by replacing legacy workflows with automated, AI-powered solutions and tradecraft.

Programming & Big Data: Advanced proficiency in Python and PySpark for big data analytics, large-scale data manipulation, and automated processing.

AI/ML Model Development: Hands-on experience building, training, and evaluating ML/DL models using PyTorch, TensorFlow, and Scikit-Learn.

Modern AI Architecture: Demonstrated architectural experience with Retrieval-Augmented Generation (RAG), Prompt Engineering, or Low-Rank Adaptation (LoRa).

Technical Communication: Excellent ability to serve as a bridge between complex data structures and decision-makers, communicating insights via technical reports, whitepapers, and operational briefings.

Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 15+ years of professional experience in data science, NLP, or software engineering.
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Desired Skills

Language & Querying Languages: Proficiency with R, SQL, or Scala for analytical processing and database querying.
LLM & AI Frameworks: Practical experience with LangChain, LlamaIndex, or Hugging Face Transformers.
Vector Databases: Familiarity with vector database platforms (e.g., Qdrant, ChromaDB, PGVector, Pinecone).
Data Visualization: Hands-on experience crafting compelling visual analytics using Tableau, Seaborn, Matplotlib, or Plotly.
DevOps & MLOps Tooling: Exposure to MLOps workflows using Git, Docker, Kubernetes, and Jupyter Notebooks.

## Description

We are seeking a Senior Data Scientist & AI/ML Engineer to spearhead the evolution of the analytic lifecycle for critical defense and intelligence customer missions. In this role, you will perform Exploratory Data Analysis (EDA) on large-scale datasets to produce critical operational insights and answer complex Requests for Information (RFIs). You will integrate AI-enabled workflows, design advanced retrieval architectures, and apply mathematical modeling and statistical analysis to modernize traditional intelligence processes. Acting as a vital bridge between technical data and operational leadership, you will communicate actionable findings across technical documentation, briefing decks, and executive forums.