Job Description
Description
- Acquire, mine and conduct analysis on behavioral data to discover actionable insights and communicate findings to business and technical audiences
- Apply statistical modeling techniques to improve existing decision-making systems
- Initiate and lead machine learning projects from problem definition to research to productionization
- Work with Data Engineers on deployment of machine learning models
- Drive business impact with insightful use of data and of the latest methodologies
Requirement
- Degree in Computer Science / Computer Engineering / Information Engineering or related discipline
- 1 – 3 years relevant experience in data processing and analysis with Python and SQL
- Working knowledge on a variety of machine learning techniques
- Experience with large-scale analytics projects with unstructured data
- Experience with data visualization tools like Data Studio, PowerBI, Tableau, Plotly, Seaborn
- Experience with Google Cloud Platform is a plus
- Fresh graduate and less experience candidate would be considered as junior role
- Enthusiastic about AI-related solutions and innovations
- Engineering mindsets, data driven and embrace experiments
- “Get it done” attitude that completes high quality projects and tackles unforeseen challenges