**Responsibilities**:- Collect, clean, and preprocess large datasets from various sources.- Perform exploratory data analysis to identify data quality issues.- Stay current with industry trends, emerging technologies, and best practices in data science.- 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.**Job Types**: Permanent, Contract, Fresh graduateContract length: 12 months**Salary**: RM3,500.00 - RM6,500.00 per month**Benefits**:- Opportunities for promotion- Professional development- Work from homeSchedule:- Fixed shift- Monday to FridaySupplemental pay types:- Yearly bonusAbility to commute/relocate:- Kuala Lumpur: Reliably commute or planning to relocate before starting work (required)Application Question(s):- Are you willing to work hybrid or remotely on contract basis?**Experience**:- Data collection: 1 year (required)