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# Data Scientist

- **Company:** Knowmadics, Inc
- **Location:** Lawton, OK, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Cyber Security, Distributed Computing Environment, Spatial Databases, Python (Programming Language), Machine Learning, NumPy, PostGIS, Tensorflow, Azure Machine Learning, Scientific Computating, SciPy, Software Requirements Analysis, Pytorch, Gaussian, Pandas, Scikit Learn, Machine Learning Operations
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=635778802824f49a

## About the Role

* Minimum
 + Graduate-level education (Master's or PhD) in a quantitative field such as natural sciences, mathematics, statistics, economics, psychology, or a related discipline is preferred. Exceptional candidates with a bachelor's degree and substantial applied machine learning or data science experience may also be considered.
 + 3+ years of professional experience using Python-based scientific computing and machine learning tools (e.g., Numpy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, PyMC, GeoPandas, etc.)
 + 3+ years of experience analyzing complex real-world datasets using statistical inference, predictive modeling, or machine learning techniques
 + Experience communicating technical results to semi-technical audience
 + Eligible to obtain a U.S. Security Clearance - U.S. Citizenship required
 * Preferred
 + Experience with Bayesian statistical methods, hierarchical models, Gaussian processes, or probabilistic programming
 + Experience with geospatial, temporal, or spatiotemporal statistical analysis
 + Exposure to spatial databases and geospatial Python libraries (GeoPandas, Shapely, Rasterio, xarray, PostGIS, etc.)
 + Experience with large-scale scientific computing or distributed data processing
 + Exposure to deployed analytical or machine learning systems
 + Experience developing reproducible analytical workflows and validating statistical models

## Description

Work with our team of engineers, scientists and human factors professionals to develop machine learning and other algorithm data capabilities for cybersecurity, space, and telecommunications. This individual contributor role will involve hands-on work collecting data, developing solutions to real-world problems using machine learning. Developed solutions are actively being productionized to support ongoing cybersecurity initiatives and other crucial infrastructure and security needs., * Design and develop data collection and experimental protocols to ensure statistically valid, high quality datasets for downstream analysis and model development

 * Develop, evaluate, and validate statistical and machine learning models for interdisciplinary problems involving cybersecurity, telecommunications, and sensor data, with an emphasis on spatial, temporal, and spatiotemporal analysis
 * Work with human factors specialists, and data/full stack engineers to define system requirements, review developed code, and support translating statistical concepts to coworkers
 * Support documentation of analysis results for semi-technical stakeholders
 * Occasionally support technical interactions like collaboration, including defining technical requirements for external data collections, and reviewing technical work


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