Data Scientist

• Develop and implement advanced machine learning models and algorithms to solve complex business problems
• Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring
• Utilize PySpark for large-scale data processing and transformation
• Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility
• Perform exploratory data analysis, feature engineering, and model optimization
• Communicate insights and recommendations to stakeholders through clear visualizations and reports.

Data Scientist

Data Scientist II – Corporate Data and Analytics