Data Science Engineer

• Design and develop scalable data pipelines and architectures to support business intelligence and data warehousing.


• Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.


• Develop and maintain large-scale machine learning models using supervised and unsupervised learning techniques.


• Work closely with stakeholders to understand business requirements and develop data visualizations and reports.


• Ensure data quality and integrity by implementing data validation and testing procedures.


• Stay up-to-date with industry trends and emerging technologies in data science and analytics.

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