Data Scientist (Machine Learning / Data Model)

Responsibilities

• Design and develop scalable data pipelines and backend services for data ingestion and processing.
• Build, deploy, and maintain production-ready data science and machine learning models.
• Analyse data to identify opportunities for AI/ML use cases and validate hypotheses.
• Collaborate with data engineers to develop data models and analytics solutions.
• Document model development, data pipelines, and technical decisions.
• Support knowledge transfer and capability building within the team.

Requirements

• Degree in Computer Science, Data Science, Engineering, or a related discipline.
• 8+ years of experience in data science, with a strong track record of delivering production-scale ML solutions.
• Hands-on experience with machine learning model development, deployment, and data engineering collaboration.
• Experience with modern data platforms (e.g. Databricks) and cloud environments such as AWS.
• Proven experience leading data science initiatives for large-scale, complex data platforms.
• Knowledge of IoT and industrial messaging protocols (e.g. MQTT, AMQP, OPC-UA).
• Experience with robotics, sensor, or industrial data processing is an advantage.
• Exposure to GenAI, LLM, or Retrieval-Augmented Generation (RAG) data pipelines is preferred.