About the Role
<h3 dir="ltr"><strong>Data Scientist</strong></h3>
<p dir="ltr">Columbia, MD<br />
TS/SCI and Full Poly<br />
120K-260K<br />
All levels accepted</p>
<p dir="ltr">Key Responsibilities:</p>
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<p dir="ltr">Design and implement AI/ML models to solve real-world problems in data-rich environments</p>
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<p dir="ltr">Apply techniques such as natural language processing (NLP), deep learning, computer vision, and statistical modeling</p>
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<p dir="ltr">Collaborate with analysts, engineers, and mission stakeholders to define data-driven solutions</p>
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<p dir="ltr">Develop data pipelines and preprocess structured and unstructured datasets</p>
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<p dir="ltr">Present findings through visualizations, reports, and briefings for both technical and non-technical audiences</p>
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<p dir="ltr">Work in secure, cloud-based environments and contribute to agile project cycles</p>
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<p dir="ltr">Required Qualifications:</p>
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<p dir="ltr">Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, or related field</p>
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<p dir="ltr">5+ years of experience applying machine learning or deep learning techniques</p>
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<p dir="ltr">Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas)</p>
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<p dir="ltr">Experience working with large-scale data, including unstructured and mission-critical datasets</p>
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<p dir="ltr">Strong understanding of supervised, unsupervised, and reinforcement learning</p>
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<p dir="ltr">Preferred:</p>
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<p dir="ltr">Familiarity with secure cloud platforms (e.g., AWS GovCloud, C2S)</p>
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<p dir="ltr">Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Power BI)</p>
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<p dir="ltr">Understanding of data labeling, model drift, and model operationalization in secure environments</p>
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