Full-timeTech & engineering· Posted 30 Aug

Senior Data Scientist

DysonFrom 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

A senior technical position focused on statistics, mathematics, data preparation, machine learning and hands-on programming. The role leads complex analyses, builds scalable solutions and ensures work is rigorous, reproducible and aligned with business needs. It suits an experienced data scientist who can influence technical decisions and help colleagues grow.

What you'll do

Contribute to data science projects from problem definition through analysis, modelling, implementation and evaluation
Define suitable statistical, mathematical and machine learning approaches for complex business problems
Lead data exploration, cleaning, transformation and feature engineering to create reliable analytical datasets
Design, implement and optimise machine learning models with validation and performance monitoring

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Develop maintainable, production-ready Python code using sound software engineering practices

Present findings, limitations and recommendations clearly to technical and non-technical stakeholders

Collaborate with business, product, engineering and other teams to deliver practical, high-impact solutions

Take ownership of delivery, proactively managing risks, dependencies and changing priorities

Mentor junior data scientists through technical guidance, feedback and knowledge sharing

Evaluate new research, industry developments and methodologies, applying them where they add value

Use cloud-based machine learning services to develop scalable solutions

Good to know

Based at the Singapore Technology Centre

Requirements

Deep knowledge of statistics and mathematics, with experience designing rigorous analyses, testing assumptions and interpreting complex results
Strong data-wrangling and cleaning skills, including working with large or imperfect datasets, resolving quality issues and developing reproducible data pipelines
Strong machine learning experience, including model selection, feature engineering, validation, optimisation and performance monitoring
Proficiency in Python and relevant machine learning frameworks, with experience writing clear, tested and maintainable code
Ability to build domain knowledge quickly, assess relevant research critically and apply appropriate methods to business problems
Experience developing scalable data science solutions using GCP or comparable cloud platforms

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Senior Data Scientist

About the role

What you'll do

Good to know

Requirements

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