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Applied Data Scientist - Booz Allen Hamilton
Data Scientist
Design, develop, and deploy AI-driven solutions that operate at scale, turning structured and unstructured data into reliable, real‑world machine learning systems for mission‑critical applications.
About the role
Key Responsibilities
- Collaborate with clients to translate mission requirements into data‑driven AI solutions.
- Design, implement, and optimize machine learning and deep learning models using Python, TensorFlow, and PyTorch.
- Develop end‑to‑end pipelines for data ingestion, preprocessing, model training, and deployment on cloud platforms such as AWS.
- Validate model performance, conduct robustness testing, and ensure solutions operate reliably at scale.
- Document methodologies, create reproducible codebases, and present findings to technical and non‑technical stakeholders.
Requirements
- Strong proficiency in Python and experience building production‑grade ML/DL models.
- Hands‑on experience with TensorFlow or PyTorch and familiarity with model serving frameworks.
- Knowledge of cloud services (AWS) for scalable deployment and data processing.
- Ability to work with both structured and unstructured data sources and apply advanced feature engineering techniques.
- Excellent problem‑solving skills and the ability to communicate complex concepts clearly.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws