> Markdown version of [/jobs/ext/3569339-mid-level-python-data-scientist-303k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/3569339-mid-level-python-data-scientist-303k-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 [$303k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $303,000.0 - **Contract:** Permanent contract - **Skills:** Data Visualization, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, SQL Databases, Deep Learning - **Published:** October 3, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9210437/mid-level-python-data-scientist-303kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 10+ years * Total Compensation: $303k+ yearly ## Description * Lead data science initiatives by designing, training, and validating advanced machine learning, statistical, and graph-based algorithms. * Build prototypes and scale analytics to production environments using Python, R, MATLAB, and SQL. * Define analytic requirements, create comprehensive data visualizations, and provide technical guidance to data science teams., * Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics. * Extract and transform data from diverse formats including SQL tables, structured metadata, and network logs into feature vectors. * Prototype algorithms and evaluate model performance using standard metrics such as cross-validation, ROC curves, and confusion matrices. * Design experiments and models to collect or simulate data when required datasets are unavailable. * Partner with software engineers and cloud developers to integrate prototype algorithms into production workflows. * Produce clear data visualizations and reports that effectively communicate insights to stakeholders. * Lead and mentor a team of data scientists in executing multiple analytic projects from requirement definition to deployment.