remote
Senior Principal Global Industrial Analytics Engineer - Alcon
Data Engineer
Lead advanced analytics for global industrial operations, driving data‑driven insights with Python, SQL, AWS, and machine learning to optimize performance and innovation.
About the role
Key Responsibilities
- Architect and maintain large‑scale data pipelines using Python, Spark, and AWS services to ingest, transform, and store industrial data.
- Design and implement machine learning models that predict equipment performance, optimize supply chains, and enhance product quality.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions and actionable dashboards.
- Lead data governance initiatives, ensuring data quality, security, and compliance across global datasets.
- Mentor and coach junior data scientists and engineers, fostering a culture of continuous improvement and innovation.
Requirements
- 10+ years of experience in data engineering and analytics, with a strong focus on industrial or manufacturing domains.
- Proficiency in Python, SQL, and big‑data frameworks such as Spark; experience with AWS data services (Redshift, S3, Glue, EMR).
- Deep knowledge of machine learning techniques, model deployment, and performance monitoring.
- Excellent communication skills and ability to influence stakeholders at all levels.
- Advanced degree in Computer Science, Engineering, or related field preferred.
Skills
pythonsqlawsmachine learning