Full-timeTech & engineering· Posted 29 Sept

Data Scientist Lead

Changi Airport GroupFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Experienced

About the role

This is a senior data science leadership role based in Singapore, focused on building data and AI products that support airport operations and corporate functions. You will report to the Senior Vice President of Airport Operations Technology & Corporate IT and work with product owners, engineers, and technology partners. The position suits an experienced data scientist who can lead a team, engage stakeholders, and deliver scalable solutions in a fast-paced setting.

What you'll do

Work with product owners, data engineers, and partners throughout product development, from concept and design through prototyping, testing, data curation, deployment, scaling, and end-of-life.
Gather, process, and analyse large data sets from multiple sources.

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Design, build, and validate machine learning models and statistical algorithms.

Carry out exploratory data analysis to find insights and trends.

Partner with stakeholders to define data requirements and objectives.

Present findings and recommendations to non-technical audiences.

Provide technical strategies, engage stakeholders, and lead a team.

Develop reusable, scalable, and cost-effective data and AI products.

Work with existing data engineering and cloud architect teams to use current data lakes, pipelines, and presentation layers.

Handle multiple projects at the same time.

Good to know

Reporting line is to the Senior Vice President, Airport Operations Technology & Corporate IT.
You may work individually or as part of a team with various business units.

Requirements

At least 10 years of experience as a data scientist or similar role
At least 3 years managing data scientists, machine learning engineers, and big data specialists
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
Strong knowledge of statistical methods and machine learning techniques such as regression, classification, clustering, time series forecasting, and anomaly detection
Strong programming skills in Python and/or R
Hands-on experience with machine learning libraries such as scikit-learn, XGBoost, TensorFlow, and PyTorch

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Changi Airport Group

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Data Scientist Lead

About the role

What you'll do

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Requirements

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