Principal Data Scientist

Key Responsibilities

• Develop and implement advanced machine learning models, statistical algorithms, and predictive analytics solutions to support business objectives.
• Collaborate with stakeholders to identify business problems and translate them into data science solutions.
• Design and develop data visualizations, dashboards, and reports to communicate insights to non-technical stakeholders.
• Work closely with data engineering teams to integrate data from multiple sources into unified data platforms and warehouses.
• Build and maintain scalable data systems and architectures to support analytics and business intelligence initiatives.
• Perform data cleaning, transformation, feature engineering, and exploratory data analysis on large datasets.
• Continuously evaluate and improve model performance using appropriate metrics and validation techniques.
• Stay updated with emerging technologies, tools, and trends in data science, machine learning, and AI.
• Contribute to end-to-end data science lifecycle including model deployment and monitoring where applicable.