Data Scientist

Role & responsibilities

• Analyze large and complex datasets to identify trends, patterns, and drivers of business outcomes.
• Develop, validate, and deploy predictive models using regression and machine learning techniques.
• Perform feature engineering, variable selection, and model optimization.
• Apply statistical methods to evaluate model performance and business impact.
• Build, validate, and deploy machine learning and statistical models.
• Develop predictive and prescriptive analytics solutions.
• Design and implement data pipelines and feature engineering workflows.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Create dashboards, reports, and visualizations to communicate insights effectively.
• Monitor model performance and retrain models as needed.
• Stay current with emerging technologies and industry trends in AI, ML, and Data Science.
• Ensure data quality, security, and compliance with organizational standards