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Data Scientist / Data Architect - DDN
Data Scientist
Lead the design and deployment of AI‑driven data pipelines and storage solutions, leveraging Python, ML, and AWS to power high‑performance data centers for diverse industries.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines that ingest, transform, and store large volumes of structured and unstructured data.
- Implement machine learning models and analytics workflows to extract actionable insights for AI workloads.
- Architect and optimize data storage solutions on AWS, ensuring high availability, performance, and cost efficiency.
- Collaborate with cross‑functional teams to define data requirements, data quality standards, and governance policies.
- Monitor and troubleshoot data infrastructure, applying best practices for security, compliance, and disaster recovery.
Requirements
- Proven experience in Python, SQL, and data engineering tools (e.g., Spark, Airflow).
- Strong background in machine learning, model deployment, and performance tuning.
- Hands‑on expertise with AWS services such as S3, Redshift, EMR, and Glue.
- Experience designing data architectures for high‑performance AI workloads.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningsqlaws