Data Scientist - Machine Learning

Role Overview: You will be responsible for predicting and/or extracting meaningful trends/patterns/recommendations from raw data by leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: - Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making. - Design and implement data analysis and ML models, hypotheses, algorithms, and experiments to support data-driven decision-making. - Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends. - Design efficient data loading, data augmentation, and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation. - Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques, etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy, and robustness. Qualifications Required: - Python - Statistics - SQL - Machine Learning Preferred Skills: - Cloud - LLM - GCP Experience Required: - Specialist Exp: 5+ years of experience in the relevant field. Role Overview: You will be responsible for predicting and/or extracting meaningful trends/patterns/recommendations from raw data by leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: - Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making. - Design and implement data analysis and ML models, hypotheses, algorithms, and experiments to support data-driven decision-making. - Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends. - Design efficient data loading, data augmentation, and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation. - Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques, etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy, and robustness. Qualifications Required: - Python - Statistics - SQL - Machine Learning Preferred Skills: - Cloud - LLM - GCP Experience Required: - Specialist Exp: 5+ years of experience in the relevant field.