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