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# Mid-Level Machine Learning Data Scientist [$306k/yr+] TS/SCI-FSP

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $306,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Cyber Security, Data Mining, Data Visualization, Relational Databases, Elasticsearch, Data Flow Control, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Windows Servers, Network Protocols, Power BI, SAS (Software), Software Engineering, SQL Databases, Jupyter Notebook, Kibana
- **Published:** June 22, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8988410/mid-level-machine-learning-data-scientist-306kyr-tssci-fsp

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 10+ years
 * Total Compensation: $306k+ yearly, * Apply experience in designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB).
 * Manage Windows server environments and Power BI Report Service.
 * Demonstrate proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana/OpenSearch; Java experience is a plus.
 * Possess a background working with analyst teams, including conducting data analysis and creating data visualizations.
 * Apply experience working within a cybersecurity mission environment, utilizing tools and capabilities to generate threat intelligence and understanding adversary tradecraft.
 * Must possess U.S. Citizenship and an active TS/SCI security clearance with polygraph.

## Description

* Develop statistical, graph-based, and machine learning algorithms for data analysis and predictive analytics.
 * Clean and structure disparate data and produce clear data visualizations.
 * Translate qualitative mission processes into quantitative formulations and software prototypes.
 * Utilize Python, R, MATLAB, SQL, Java, Elasticsearch, Kibana, and Amazon OpenSearch.
 * Manage Windows Server environments and apply expertise in cybersecurity, dataflow, network protocols, and database engineering., * Develop and implement statistical, graph-based, and machine learning algorithms to analyze and make sense of data sets.
 * Clean and structure disparate data received from a globally dispersed customer base.
 * Provide insight into dataset structures and produce data visualizations consumable by both technical and non-technical audiences.
 * Translate qualitative analysis processes and goals into quantitative formulations that are coded into software prototypes.
 * Evaluate and validate the performance of analytics using standard techniques and metrics, guiding development toward scalable solutions.
 * Work in close partnership with subject matter experts, software engineers, and cloud developers to guide the formulation of analytics to production.


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