Work closely with data scientists to understand their needs and provide the data they require.
Work closely with domain stakeholders to translate business problem into analytical/AI Modelling/ML solutions and clear metrics.
Design, build, and maintain scalable and reliable data pipelines, software and interfaces with various data sources.
Involve and manage end-to-end solution cycle: discovery - feature engineering - Modelling/experimentation/POC/Pilot - deployment - Monitoring - propose next steps
Serve as a technical bridge, collaborating closely with cross-functional teams to ensure alignment and smooth execution of projects.
Collect and process the data in a suitable format to support various analytical requirements.
Oversee data gathering, cleaning, and preprocessing, ensuring data quality and readiness for analysis. Work closely with data engineers and other experts to acquire data from industrial sources, including Test benches , IoT devices, sensors, and SCADA systems.
Perform and integrate data quality checks to identify and correct errors or discrepancies.
Lead exploratory data analysis and machine learning model development to uncover insights, trends, and optimization opportunities.
Design models tailored to meet specific project goals, and continually iterate to ensure optimal performance and alignment with business value objectives.
Create and maintain documentation related to data flows and model, transformations applied, and validation procedures.
Establish and monitor performance metrics to track the success and ROI of deployed tools and models. Ensure deployed solutions are reliable, scalable, and aligned with best practices.
Dashboard Development: Design and implement interactive dashboards using PowerBi, Flask (or similar web frameworks), ensuring intuitive visualization of complex datasets for business and technical stakeholders.
Data for Digital Twin & Simulation: Build and maintain data input for digital twin environments by modeling processes, simulating outcomes, and integrating live data streams through JSON, XML, and APIs.
AI/Chatbot Solutions: Develop and support intelligent chatbot systems leveraging Retrieval-Augmented Generation (RAG) and related AI technologies to improve knowledge accessibility and user interactions.
Requirements:
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
Proficiency in Python (or similar languages), SQL, and experience with big data technologies like Hadoop, Spark, or similar.
Hands-on experience with SQL and NoSQL data stores, such as PostgreSQL.
Strong analytical skills and the ability to work with large datasets.
Dashboarding and Web Technologies: Hands-on experience with PowerBI ,Flask (or similar frameworks),building interactive dashboards, and integrating visualization tools.
Data for Digital Twin Simulation: Experience in modeling, simulating, and ingesting data through JSON, XML, and APIs for real-time or near-real-time systems.
Chatbot and AI-Powered Solutions: Familiarity with Retrieval-Augmented Generation (RAG) and other chatbot frameworks for knowledge-based interaction systems
Other Information:
Work Location: Changi North Rise
Working Days: Monday - Friday
Company transport provided from designated MRT stations.
1 Year Contract, able to renew/extend based on business requirements
