onsite
Manager - Lead Data Scientist
Data Scientist
Lead a high‑performing data science team, architecting end‑to‑end ML solutions on AWS SageMaker, Spark, and Databricks, while driving scalable data pipelines and cloud‑native analytics.
About the role
Key Responsibilities
- Lead and mentor a multidisciplinary data science team, setting technical direction and ensuring delivery of high‑impact ML projects.
- Design, develop, and deploy production‑grade machine learning models using AWS SageMaker, Apache Spark, and Databricks.
- Architect and maintain scalable data pipelines and data lake solutions in a cloud environment.
- Collaborate with data engineering, product, and business stakeholders to translate business problems into data‑driven solutions.
- Champion best practices in model governance, reproducibility, and performance monitoring.
Requirements
- 5+ years of experience in data science or ML engineering, with proven leadership in a technical team.
- Deep expertise in AWS SageMaker, Apache Spark, and Databricks for large‑scale data processing.
- Strong background in cloud architecture, data pipeline design, and scalable ML workflows.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
Skills
apache sparkdatabricksmachine learning