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Data Scientist, Mid - Booz Allen Hamilton
Data Scientist
Mid-level Data Scientist leveraging Python, machine learning, and IoT to transform complex structured and unstructured data into actionable insights for global challenges.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to extract insights from large, heterogeneous data sets.
- Collaborate with cross‑functional teams to define data requirements and translate business problems into analytical solutions.
- Integrate IoT sensor data streams, perform feature engineering, and maintain data pipelines for real‑time analytics.
- Validate model performance, conduct A/B testing, and iterate to improve accuracy and scalability.
- Document methodologies, create reproducible workflows, and present findings to stakeholders.
Requirements
- Proficiency in Python, including libraries such as pandas, scikit‑learn, and TensorFlow or PyTorch.
- Strong foundation in machine learning concepts, statistical analysis, and data visualization.
- Experience working with IoT data, time‑series analysis, and cloud platforms (AWS, Azure, or GCP).
- Excellent problem‑solving skills and ability to communicate complex ideas clearly.
- BS/MS in Computer Science, Data Science, or related field preferred.
Skills
pythonmachine learningdata analysis