Define problems and hypotheses, develop recommendations, and analyze large amounts of data to discover insights for solving the problems, leading to better business performance.
Design, plan, develop, and deploy machine learning models and advanced analytics solutions to solve a wide array of business problems.
Collaborate with Business Intelligence and Data Engineer teams to find the external and internal sources of new data and to improve existing data sources in order to continually improve data quality.
Continuously improve the performance of our models, monitor model performance in production systems closely.
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation
Coach and help junior data scientists to grow their capabilities.
Min 3 year experiences doing AI / Machine Learning Projects
Experience in doing statistical analysis, developing machine learning models into production
Familiar with Python to develop a statistical data model
Familiar with database query
Possess great design and problem-solving skills, have a passion for quality and engineering excellence at scale.
Ability to work independently in a fast-paced, iterative development environment.
Exemplary communication skills, ability to work with large cross-functional teams of technical and non-technical members.
Have a deep knowledge about statistic model
Have a good collaboration skill
Have a good communication skill
Have a strong critical thinking