Airswift

Data Scientist

Airswift

Singapore · Full Time

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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

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