remote
Data Scientist, Applied Science - Future Secure AI
Data Scientist
Lead end‑to‑end data science projects, building scalable ML models on AWS, leveraging Python, SQL, and deep learning to solve complex business problems for enterprise clients.
About the role
Key Responsibilities
- Design, develop, and deploy production‑ready machine learning models using Python and deep learning frameworks.
- Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions.
- Engineer robust data pipelines and feature stores on AWS, ensuring data quality and scalability.
- Perform advanced statistical analysis and A/B testing to validate model performance.
- Document methodologies, maintain reproducible notebooks, and share insights with stakeholders.
Requirements
- 5+ years of experience in applied data science or machine learning engineering.
- Proficiency in Python, SQL, and experience with AWS services (SageMaker, Lambda, Glue).
- Strong background in deep learning, NLP, or computer vision techniques.
- Excellent communication skills and ability to explain complex concepts to non‑technical audiences.
- Track record of deploying models at scale in a production environment.
Skills
pythonmachine learningdata analysissqlawsdeep learning