Airswift
Data Scientist
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Singapore
Work mode:
Onsite
Published on:
24 September 2026
What they need
A leading global player in maritime shipping is expanding its commercial team and seeking highly qualified candidates for the Data Scientist position based in Singapore.
Job Responsibilities:
- Lead the full data science lifecycle by building reproducible, automated pipelines from raw data extraction and preprocessing to model training, evaluation, and deployment.
- Partner closely with business and operations teams to translate real-world operational challenges into effective feature engineering, custom model designs, and aligned evaluation metrics.
- Apply deep theoretical and practical understanding across the algorithm spectrum, ranging from foundational statistical models to complex Deep Neural Networks and Transformers.
- Specialize in structured/tabular data to build high-precision predictive solutions, experience with Computer Vision and multi-modal techniques is an advantage
- Leverage cloud-native AutoML frameworks to automate hyperparameter tuning, establish fast baseline benchmarks, and accelerate time-to-market for production models
- Support in any ad hoc tasks as assigned
Requirements:
- Bachelor’s degree in computer science, Software Engineering, Data Science, or other relevant field
- 2 - 3 years’ experience in Data Science at the production level.
- Advanced proficiency in Python (PyTorch), SQL, and Docker.
- Deep knowledge ranging from basic regression/tree models (XGBoost) to Deep Learning & Transformers.
- Strong expertise in tabular data modeling and time-series forecasting (sales, schedule, demand) and experience with Computer Vision is an advantage
- Hands-on experience with cloud ML platforms, including practical use of AutoML frameworks for rapid prototyping and baseline building
Airswift care deeply about equity, diversity and inclusion, and we actively seek talent from diverse and underrepresented groups. Please do send your CV to us if you meet most, but maybe not all of the requirements.
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