BI Data Modeler

As a Data Scientist, you will be responsible for predicting and/or extracting meaningful trends/patterns/recommendations from raw data using data science methodologies including Machine Learning, predictive modeling, statistics, and advanced analytics. Key Responsibilities: - Understand business requirements and analyze datasets to determine suitable approaches for meeting analytic business needs and supporting data-driven decision-making. - Design and implement data analysis and Machine Learning models, hypotheses, algorithms, and experiments to facilitate data-driven decision-making. - Apply various analytics techniques such as data mining, predictive modeling, statistics, and machine learning algorithms to analyze data and reveal meaningful patterns, relationships, and trends. - Develop efficient data loading, data augmentation, and data analysis techniques to improve the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation. - Stay updated on advancements in the domain of data science, machine learning, analytics tools, and techniques to enhance analysis efficiency, accuracy, and robustness continuously. Qualifications Required: - Specialist experience of 6+ years in a relevant field. - Bachelor's Degree or Master's Degree in a related discipline. Skills Required: - Python - Statistics - SQL - Machine Learning Skills Preferred: - LLM - Cloud - GCP Education Preferred: - Master's Degree (Note: Additional details about the company were not provided in the job description.) As a Data Scientist, you will be responsible for predicting and/or extracting meaningful trends/patterns/recommendations from raw data using data science methodologies including Machine Learning, predictive modeling, statistics, and advanced analytics. Key Responsibilities: - Understand business requirements and analyze datasets to determine suitable approaches for meeting analytic business needs and supporting data-driven decision-making. - Design and implement data analysis and Machine Learning models, hypotheses, algorithms, and experiments to facilitate data-driven decision-making. - Apply various analytics techniques such as data mining, predictive modeling, statistics, and machine learning algorithms to analyze data and reveal meaningful patterns, relationships, and trends. - Develop efficient data loading, data augmentation, and data analysis techniques to improve the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation. - Stay updated on advancements in the domain of data science, machine learning, analytics tools, and techniques to enhance analysis efficiency, accuracy, and robustness continuously. Qualifications Required: - Specialist experience of 6+ years in a relevant field. - Bachelor's Degree or Master's Degree in a related discipline. Skills Required: - Python - Statistics - SQL - Machine Learning Skills Preferred: - LLM - Cloud - GCP Education Preferred: - Master's Degree (Note: Additional details about the company were not provided in the job description.)