- Work on advanced data analysis to provide insights to different types of users. - Identify behavioral and attribute-based clusters using clustering techniques. - Conduct predictive analysis to create “what-if” scenarios for organizational planning and marketing strategy. - Develop and apply algorithms on data to solve business problems. - Serve as the key expert for all statistical modeling and analysis in the organization. - Competent to manage a small team. - Strong statistical and machine learning knowledge with hands-on experience in statistical tools and techniques. - Ability to provide meaningful and actionable insights based on data analysis. - Strong communication skills. - Skilled in predictive modeling methods such as Logistic Regression, Random Forest, AdaBoost. - Proficient in running multivariate regression models using Python or R. - Ability to conduct cluster analysis on large datasets. - Good understanding and experience working with multiple data sources. - Comfortable with receiving, loading, cleansing, enriching, and enhancing transactional data. - Proactive problem solver requiring minimal guidance. - Strong team player able to work in ambiguous environments with minimal guidance. - Specialized knowledge in statistical modeling, customer segmentation, and predictive analysis is preferred. - Candidates with strong business sense and problem-solving skills are favored.