Zebra is seeking a Senior Data Scientist to design, optimize, and maintain scalable ETL pipelines using PySpark and Databricks. The role involves developing automated data validation processes, building and tuning ML/AI and optimization models, and collaborating with cross-functional teams.
Requirements
- Design, optimize, and maintain scalable ETL pipelines using PySpark and Databricks.
- Develop automated data validation process to proactively perform data quality checks.
- Build and tune ML/AI and optimization models, identify improvement opportunities, and perform experiments to demonstrate incremental value.
- Collaborate with cross-functional teams, such as Customers’ Stakeholders, Engagement Managers, Data Ops/Job Monitoring, Product Management & Software Engineering.
Benefits
- Competitive salary
- Benefits package
- Opportunities for professional growth and development
- Collaborative and innovative work environment

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