Data ScientistColumbia, MDTS/SCI and Full Poly120K-260KAll levels acceptedKey Responsibilities:Design and implement AI/ML models to solve real-world problems in data-rich environmentsApply techniques such as natural language processing (NLP), deep learning, computer vision, and statistical modelingCollaborate with analysts, engineers, and mission stakeholders to define data-driven solutionsDevelop data pipelines and preprocess structured and unstructured datasetsPresent findings through visualizations, reports, and briefings for both technical and non-technical audiencesWork in secure, cloud-based environments and contribute to agile project cyclesRequired Qualifications:Bachelor's or Master's degree in Computer Science, Data Science, Applied Mathematics, Statistics, or related field5+ years of experience applying machine learning or deep learning techniquesProficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas)Experience working with large-scale data, including unstructured and mission-critical datasetsStrong understanding of supervised, unsupervised, and reinforcement learningPreferred:Familiarity with secure cloud platforms (e.g., AWS GovCloud, C2S)Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Power BI)Understanding of data labeling, model drift, and model operationalization in secure environments