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# Modeling & Simulation Automation/Data Analytics Engineer

- **Company:** Torch Technologies, Inc.
- **Location:** Redstone Arsenal, AL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Big Data, Nvidia CUDA, Data Integrity, Extract Transform Load (ETL), Data Structures, Data Visualization, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Power BI, Distributed Simulation, Tensorflow, Software Engineering, Data Streaming, Tableau (Software), Reinforcement Learning, Freeform SQL, Pytorch, Deep Learning, Generative AI, Keras, Git, Matplotlib, Build Management, Linux Development, Information Technology, HuggingFace, Modeling and Simulation, Data Analytics, Plotly, Machine Learning Operations, Data Pipelines, Recurrent Neural Networks, Docker
- **Published:** June 2, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8950020/modeling-simulation-automationdata-analytics-engineer

## About the Role

* U.S. Citizenship
 * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field (equivalent professional experience considered)
 * Active SECRET security clearance with ability to obtain and maintain TS/SCI
 * Software development experience
 * Strong Python development skills
 * Experience working with large datasets and/or streaming data
 * Experience implementing, training, and evaluating ML models
 * Proficiency with deep learning frameworks such as PyTorch, TensorFlow, Keras, or Hugging Face
 * Understanding of machine learning concepts (e.g., Decision Trees, Random Forests, LSTM/sequence models)
 * Knowledge of data structures, algorithms, and performance optimization
 * Experience with Git and collaborative development workflows, * Experience with Retrieval-Augmented Generation (RAG)
 * Familiarity with Model Context Protocols (MCP) or similar agent/tool interaction frameworks
 * Experience with GPU acceleration and CUDA architecture (drivers, runtime, APIs)
 * Experience with deep learning and reinforcement learning libraries
 * Experience building or supporting real-time data pipelines
 * Experience with data visualization and exploratory analysis tools (Matplotlib, Seaborn, Plotly, etc.)
 * Familiarity with model deployment and inference optimization
 * Experience working in containerized or distributed environments
 * Experience with Linux development environments
 * Experience with Docker and containerized workflows
 * Familiarity with streaming or large-scale data processing frameworks

Schedule:M-F; 8-5

## Description

As a Modeling & Simulation (M&S) Automation/Data Analytics Engineer, your duties will include the following but not limited to:

 * Develop and maintain automated ETL pipelines for structured and unstructured data sources
 * Design and build dashboards and visualizations using Tableau, Power BI, or similar tools
 * Analyze large-scale and streaming datasets to identify trends, anomalies, and performance insights
 * Write, optimize, and maintain complex SQL queries and Python-based analytics workflows
 * Implement, train, evaluate, and optimize machine learning and deep learning models
 * Support automation of reporting and analytical processes to improve efficiency and timeliness
 * Collaborate with engineers, analysts, and stakeholders to define KPIs and reporting requirements
 * Ensure data integrity, quality, and consistency across analytics solutions
 * Support distributed simulation events, including occasional off-hours test activities


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