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.

Data Scientist