Collect, clean, and preprocess large datasets from various sources.
Develop and implement machine learning models and algorithms to optimize web and mobile application performance.
Collaborate with teams and clients to understand data requirements for application improvement.
Perform exploratory data analysis to identify data quality issues.
Stay current with industry trends, emerging technologies, and best practices in data science.
Support data-related decision-making processes in application development
This role requires candidates to have a hands-on approach and be the analytics technical expert who uses large data sets and strong in applying varieties of machine learning methodology / algorithms with different data tools in developing the models, running simulations & optimization.
Being an analytics consultant for the business stakeholders and able to coach team members to recommend and deliver the creative analytics solutions for continuous improvements and solving business questions.
Implement and manage a high standard of procedural documentation.
Research and experiment with creative and advanced machine learning techniques and tools.
Drive the collection of new data and refinement of existing data sources.
Job Requirements
Bachelor\'s or advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related fields.
At least 1 year of working experience. Fresh Graduates are encouraged to apply.
Proficiency in programming languages such as Python.
Excellent problem-solving skills and the ability to work with complex, unstructured data.
Strong will to learn and improve in technical skills.
Good understanding of design and machine learning algorithm principles.
Good understanding of machine learning model management principles and practices.
Able to work in a fast-paced, multidisciplinary and competitive environment.
Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
Able to collaborate with other teams to drive positive outcomes.