Develop and deploy predictive models and AI/ML solutions to solve business challenges, improve operations efficiency, competitiveness, and business performance.
Build and maintain datasets optimized for analytics and modeling.
Collaborate closely with Data Engineers for data preparation and with Engineer teams for model deployment and monitoring.
Qualification
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
Experience developing machine learning or statistical models for business problems.
Strong programming skills in Python or similar languages for data analysis and modeling.
Experience with data analysis, feature engineering, and model evaluation.
Familiarity with ML frameworks and data visualization tools.
Understanding of model deployment and monitoring concepts.