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You will be updated with latest job alerts via emailThis role involves understanding business needs and analyzing data to create datadriven solutions. The candidate will design and implement data analysis and machine learning models to support decisionmaking. They will also apply various analytical techniques to uncover patterns and trends in data while ensuring data accuracy and robustness. Finally they are expected to stay updated on the latest advancements in data science and machine learning to improve analysis methods.
Key Roles and Responsibilities of Position:
Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support datadriven decisionmaking
Design and implement data analysis and ML models hypotheses algorithms and experiments to support datadriven decisionmaking
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
Minimum Qualifications
Preferred Qualifications
Full-Time