> Markdown version of [/jobs/ext/3753144-senior-ai-data-scientist-305k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/3753144-senior-ai-data-scientist-305k-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). --- # Senior AI Data Scientist [$305k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Expert - **Salary:** $305,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, Python (Programming Language), Machine Learning, Tensorflow, Tableau (Software), Jupyter Notebook, Pytorch, LangChain, Prompt Engineering, Llamaindex, Generative AI, Git, Matplotlib, Pyspark, Scikit Learn, Kubernetes, HuggingFace, Plotly, Docker - **Published:** October 15, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9236787/senior-ai-data-scientist-305kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 15+ years * Total Compensation: $305k+ yearly ## Description * Perform exploratory data analysis and mathematical modeling on large datasets to generate actionable intelligence insights. * Drive innovation across the analytic lifecycle by developing AI-enabled workflows and automated processing solutions to replace legacy tradecraft. * Bridge the gap between complex data and key decision-makers by effectively communicating findings across technical documentation and forums., * Conduct exploratory data analysis (EDA) and statistical modeling on high-volume datasets to satisfy critical requests for information. * Design, train, and deploy machine learning and deep learning models using Python, PySpark, PyTorch, TensorFlow, and Scikit-Learn. * Build and integrate advanced architectures including Retrieval-Augmented Generation (RAG), prompt engineering, and parameter-efficient fine-tuning (LoRA). * Leverage generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face Transformers, and vector databases. * Design and deliver clear analytical visualizations using Tableau, Seaborn, Matplotlib, or Plotly. * Support deployment and operations using modern DevOps tooling including Git, Docker, Kubernetes, and Jupyter Notebooks.