- Experience
- 2–3 yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 days ago
- Work mode
- In office
- Education
- Bachelor’s degree in Computer Science or related field
- Resume
- Required to apply
Where you'll work
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Job description
About the Role
A prominent global leader in the maritime shipping industry is broadening its commercial team and seeks proficient candidates for the Data Scientist role based in Singapore.
Key Responsibilities
- Oversee the complete data science workflow by creating reproducible automated pipelines that manage raw data extraction, preprocessing, model training, performance evaluation, and deployment.
- Collaborate directly with business and operational teams to translate complex practical challenges into effective feature engineering, tailor-made model designs, and aligned performance metrics.
- Utilize comprehensive theoretical and applied knowledge spanning from classical statistical models to advanced Deep Neural Networks and Transformer architectures.
- Focus primarily on structured and tabular data to deliver highly accurate predictive solutions; familiarity with Computer Vision and multi-modal machine learning techniques is a beneficial plus.
- Employ cloud-native AutoML platforms to automate hyperparameter tuning, rapidly establish strong baseline models, and speed up model deployment timelines.
- Assist with any additional ad hoc assignments as required.
Candidate Profile and Requirements
- Possess a Bachelor’s degree or equivalent qualification in Computer Science, Software Engineering, Data Science, or a related discipline.
- Have between 2 to 3 years of practical data science experience, specifically at a production environment level.
- Exhibit advanced skills in Python programming (particularly with PyTorch), SQL database querying, and containerization using Docker.
- Demonstrate thorough understanding of techniques ranging from basic regression and tree-based models like XGBoost to complex Deep Learning and Transformer methods.
- Have strong competency in modeling tabular data and forecasting time-series data, such as sales, scheduling, and demand; experience in Computer Vision is considered advantageous.
- Be experienced with cloud machine learning platforms, including hands-on use of AutoML frameworks to fast-track prototyping and establish baseline models.
Diversity and Inclusion Statement
Airswift values equity, diversity, and inclusivity, actively encouraging applications from a broad spectrum of candidates, including those from underrepresented groups. Applicants who meet most but not necessarily all the listed criteria are welcome to apply.
Minimum education
Bachelor's Degree
Tools & software
PyTorch
Docker
required