Data Scientist

Columbia, MD
TS/SCI and Full Poly
120K-260K
All levels accepted

Key Responsibilities:

• Design and implement AI/ML models to solve real-world problems in data-rich environments

• Apply techniques such as natural language processing (NLP), deep learning, computer vision, and statistical modeling

• Collaborate with analysts, engineers, and mission stakeholders to define data-driven solutions

• Develop data pipelines and preprocess structured and unstructured datasets

• Present findings through visualizations, reports, and briefings for both technical and non-technical audiences

• Work in secure, cloud-based environments and contribute to agile project cycles

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, or related field

• 5+ years of experience applying machine learning or deep learning techniques

• Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas)

• Experience working with large-scale data, including unstructured and mission-critical datasets

• Strong understanding of supervised, unsupervised, and reinforcement learning

Preferred:

• 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