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Lead Data Science Engineer - Booz Allen Hamilton
Data Scientist
Lead Data Science Engineer responsible for designing and deploying data pipelines, ML models, and cloud‑based platforms, collaborating with analysts, engineers, and developers to turn complex data into actionable insights.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines and workflows using Python, SQL, and Apache Spark.
- Develop, train, and operationalize machine‑learning models to address mission‑critical problems.
- Architect and manage cloud infrastructure on AWS, ensuring security, reliability, and cost‑effectiveness.
- Collaborate with cross‑functional teams—data scientists, analysts, engineers, and developers—to translate business requirements into technical solutions.
- Lead technical reviews, mentor junior engineers, and drive adoption of best practices in data engineering and MLOps.
Requirements
- 5+ years of experience in data engineering or data science roles, with a strong focus on building production‑grade pipelines.
- Proficiency in Python, SQL, and big‑data frameworks such as Apache Spark.
- Hands‑on experience with AWS services (e.g., S3, EC2, Lambda, SageMaker) and containerization tools like Docker.
- Demonstrated ability to develop, evaluate, and deploy machine‑learning models in an agile environment.
- Excellent problem‑solving skills and the ability to communicate complex technical concepts to diverse stakeholders.
Skills
pythonsqlapache sparkawsmachine learning