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# Data Scientist - TS/SCI with Poly

- **Company:** Macpower Digital Assets Edge LLC
- **Location:** Fort Meade, MD, United States
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Computer Programming, Data Mining, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, SAS (Software), Information Technology, Machine Learning Operations
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/01442e04-68de-4e0d-97ef-ccbdaddf770b/data-scientist-tssci-with-poly

## About the Role

Required Degree and Experience: Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) 7 years of experience, Master's Degree 5 years of experience, or PhD 2 years of experience

## Description

Position Responsibilities: A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows., * Programming experience with data analysis software such as R, Python, SAS, or MATLAB.

 * Develop experiments to collect data or models to simulate data when required data are unavailable.
 * Develop feature vectors for input into machine learning algorithms.
 * Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
 * Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
 * Oversee the development of individual analytic efforts and guide team in analytic development process.
 * Guide analytic development toward solutions that can scale to large datasets.
 * Partner with software engineers and cloud developers to develop production analytics.
 * Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.