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We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.
We are searching for our next team members to join our growing team.
If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people's lives, then we would love to hear from you.
Co-Development Business Unit is looking for Data Scientist
This is a fixed term contract role. The engagement is from January 2026 to 31 December 2026.
Internal Code: A25175
What will you do?
- Data Analysis & Insights
- Perform data analysis and statistical modelling using AWS Redshift data
- Develop predictive models and machine learning algorithms
- Generate actionable insights from large datasets
- Conduct data quality assessments and validation
- Dashboard & Visualization Development
- Create and maintain interactive dashboards in AWS QuickSight
- Design data visualizations to support business decision-making
- Optimize dashboard performance and user experience
- Ensure data accuracy in reporting and visualizations
- Data Pipeline & Engineering Support
- Monitor and troubleshoot AWS Glue jobs and data ingestion processes
- Support CI/CD pipelines with data-focused monitoring and validation
- Assist with GitLab pipeline configurations for data workflows
- Support AWS Lambda functions related to data processing
- Collaborate on Infrastructure as Code (IaC) for data infrastructure
- Data Science Operations
- Monitor data pipelines and flag data quality issues
- Collaborate with technical teams on data requirements
- Support data governance and best practices implementation
- Assist in data model validation and testing
- Documentation & Reporting
- Document analytical methodologies and findings
- Prepare regular reports on data insights and model performance
- Conduct monthly progress meetings (1 hour) to present findings
- Maintain project documentation on SHIP-HATS Confluence
- Track analytical tasks through SHIP-HATS Jira
What are we looking for?
- Strong background in data science, statistics, and machine learning
- Proficiency in data analysis tools (Python, R, SQL)
- Experience with AWS data services (Redshift, QuickSight, S3, Glue, Lambda)
- Data pipeline development and troubleshooting experience
- Basic CI/CD pipeline knowledge (GitLab preferred)
- Infrastructure as Code (IaC) familiarity for data environments
- Data visualization and dashboard development skills
- Strong analytical thinking and problem-solving abilities
- Excellent documentation and presentation skills
What do we offer in return?
- Fun working environment
- Employee Wellness Program
Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.
Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.
Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.
Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.
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