About this role
Responsibilities • Develop and deploy machine learning models, optimization algorithms, and predictive analytics solutions for complex operational challenges. • Work with large-scale structured and unstructured datasets from IoT sensors, process systems, logistics platforms, and equipment telemetry. • Translate business needs into data science projects, from exploration to implementation. • Collaborate with engineering and IT teams to integrate models into decision-making systems and operational workflows. • Apply algorithmic thinking to address use cases such as dynamic scheduling, anomaly detection, resource allocation, and forecasting. • Present insights and recommendations to both technical and business stakeholders in a clear and actionable manner. Skills • Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, Engineering, or a related field. PhD is a plus. • 5+ years of practical experience in data science, ideally within industrial, manufacturing, or logistics-focused domains. • Strong grasp of algorithms, statistics, and machine learning (regression, classification, clustering, time series, reinforcement learning, etc.). • Proficiency in Python and key ML/data libraries (scikit-learn, pandas, TensorFlow, PyTorch, XGBoost). • Experience deploying ML solutions to production (APIs, containers, CI/CD workflows, cloud platforms such as AWS/Azure/GCP). • Strong problem-solving and communication skills with the ability to explain technical solutions to non-technical audiences. • Bonus: Experience with optimization techniques (e.g., linear programming, heuristics), geospatial data, or real-time analytics platforms. Ikas International (Asia) Pte Ltd “Sanderson-iKas” is the brand name for iKas International (Asia) Pte Ltd EA Licence No: 16S8086 | EA Registration No. R1988468 We regret to inform you that only shortlisted candidates will be notified /contacted.
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