M07 - Data Scientist

FPT Asia Pacific Pte Ltd; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

FPT Asia Pacific Pte Ltd in Singapore is seeking a senior data scientist to design and deploy scalable data pipelines, ML models, and backend services powering data ingestion and analytics across the platform.

The ideal candidate has 8+ years in data science, leads data science delivery, collaborates with data engineers, and can deliver production-ready solutions on Databricks and AWS, with international project experience.

Qualifications

• 8+ years of experience in data science.
• Experience deploying data/ML models in production at scale.
• Collaborative with data engineers on pipelines and backend services.
• Experience with modern data platforms (Databricks or equivalent) on AWS or similar.
• Proven leadership delivering data science for national/large-scale projects, international exposure.

Responsibilities

• Design and build data pipelines and backend services powering ingestion and processing.
• Develop data and ML models production-ready for platform use cases.
• Assess data to hypothesize use for data science and ML applications.
• Support hypothesis testing to identify scalable use cases.
• Document model development decisions and pipeline design.
• Transfer data science capabilities to internal teams progressively.

Skills

Data modeling

ML model development

Collaboration with data engineers

Production-grade data science

Hypothesis testing

Education

Degree in Computer Science, Engineering, Data Science or related field

Tools

Databricks

AWS

Data pipelines tooling

Job description

Responsibilities

• Work closely with the data team on the design and build of data pipelines and backend services powering data ingestion, processing, and access across the platform.
• Develop and maintain data models and ML models, ensuring they are production-ready and aligned with platform use cases.
• Assess available data to form hypotheses on how data can be used for data science and ML use cases, informing the data collection and architecture approach.
• Support hypothesis testing across candidate use cases to identify which have potential for further development.
• Work with the data team on the analytics layer to ensure data models and outputs are accessible and meaningful to downstream consumers.
• Produce documentation covering model development decisions and pipeline design.
• Work closely with internal team members to progressively transfer data science and ML modelling capability.

Requirements

• Degree in Computer Science, Engineering, Data Science, or related field with 8+ years of experience in data science.
• Proven experience developing and deploying data models and ML models in production environments at scale.
• Ability to work collaboratively with data engineers on pipeline design, backend services, and analytics layer development.
• Experience with modern data platform tooling (e.g. Databricks or equivalent), delivered on AWS or comparable cloud infrastructure.
• Proven track record leading data science delivery for data platforms at national or large and complex scale, having served as the lead data scientist for the majority of the project's duration, including demonstrated experience delivering comparable projects internationally at city-level or above, beyond the Singapore market.