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Data Scientist

5-7 Years
SGD 12,000 - 15,000 per month
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  • Posted 23 hours ago
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Early Applicant

Job Description

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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Job ID: 148656377

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