> Markdown version of [/jobs/ext/3282939-mid-level-python-data-scientist-278k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/3282939-mid-level-python-data-scientist-278k-yr-ts-sci-fs-poly). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid-Level Python Data Scientist [$278k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $278,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Data Mining, Python (Programming Language), MATLAB, Machine Learning, Software Engineering, Dynamic Data - **Published:** September 30, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9204617/mid-level-python-data-scientist-278kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 7+ years * Total Compensation: $278k+ yearly ## Description * Build and develop AI models and automated analytics to support complex mission needs. * Create machine learning, statistical, and graph-based algorithms to analyze and interpret diverse datasets. * Design dynamic data visualizations and reports to deliver actionable data-driven insights., * Build and develop artificial intelligence models, tuning input and model parameters for reliability and accuracy. * Develop machine learning, data mining, statistical, and graph-based algorithms to process and analyze large datasets. * Prototype and evaluate multiple algorithms, selecting final production models based on rigorous performance metrics. * Design experiments and generate synthetic data to train models when baseline datasets are unavailable. * Collaborate with subject matter experts to translate manual workflows into automated analytic processes. * Implement prototype algorithms within production software frameworks for integration into operational workflows. * Leverage software development expertise using Python, R, or MATLAB to deliver robust algorithm pipelines.