Job Highlights
- Salary up to $7,500
- Location: Central, North East
- Working Hours: Monday - Friday, 8:30AM - 6.00PM
- 1 Year Contract (Renewable / Convertible)
About the Role
We are seeking a Data Scientist to support data-driven initiatives in a project-based environment. You will be responsible for analysing data, developing predictive models, and translating insights into actionable recommendations to support business and operational decision-making.
Key Responsibilities
- Analyse large datasets to identify trends, patterns, and insights
- Develop, test, and deploy machine learning models
- Perform data cleaning, preprocessing, and feature engineering
- Work closely with stakeholders to understand business requirements and translate them into data solutions
Design and implement data pipelines and workflows - Visualise and present findings using dashboards or reports
- Monitor model performance and recommend improvements
- Ensure data accuracy, integrity, and compliance with data governance standards
Job Requirements
- Degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- At least 2-5 years of relevant experience in data science or analytics
- Proficiency in Python (e.g. Pandas, NumPy, Scikit-learn) and SQL
- Experience with machine learning techniques and statistical modelling
- Familiarity with data visualisation tools (e.g. Power BI, Tableau)
- Strong analytical thinking and problem-solving skills
- Good communication skills to present insights to stakeholders
Good to Have
- Experience with cloud platforms (e.g. AWS, Azure, GCP)
- Knowledge of big data tools (e.g. Hadoop, Spark)
- Experience in deploying machine learning models into production
- Exposure to MLOps practices
Benefits
- Opportunity to work on large-scale, meaningful projects
- Exposure to advanced data technologies and tools
- Collaborative and supportive work environment
Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.
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Kuan Mei Yang
Registration Number: R24124509
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