Data Scientist
Columbia, MD
TS/SCI and Poly
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
