Modeling & Simulation Automation/Data Analytics Engineer

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

• 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

Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match and safe-harbor contribution, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.

Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered in Huntsville, AL. Our team provides superior research, development, and engineering services to the Federal Government and Department of War. As one of the nation's top 100 defense companies, the services we provide directly support the men and women who serve our country. Our corporate mission sums up the pride our employee-owners take in the work we do: "Lighting the Pathway of Freedom". And, as a Certified Evergreen ESOP, we have made the commitment to grow and sustain our company for the next 100 years! Come grow with us!