Senior Data Scientist - Production ML & Cloud Analytics

Randstad Singapore; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

Randstad Singapore is seeking a data-driven senior data scientist to lead end‑to‑end analytics initiatives and drive production‑level ML deployments. You will frame problems, optimize algorithms, and build scalable data pipelines while collaborating with cross‑functional stakeholders to translate complex insights into strategic actions.

You will mentor junior engineers, review code, and leverage cloud platforms such as GCP to deploy analytical solutions across large-scale global operations.

Qualifications

• Advanced degree in a quantitative field or a bachelor's with 2+ years of experience.
• Proven track record delivering end-to-end data science solutions in a commercial setting.
• Proficient in Python and standard ML libraries.
• Hands-on experience building scalable apps on cloud platforms such as GCP.
• Deep knowledge in statistics, modeling, and data wrangling.

Responsibilities

• Lead end-to-end advanced analytics initiatives from problem framing to deployment.
• Formulate and optimize machine learning algorithms for commercial challenges.
• Process large datasets, fix data quality, and build robust analytics pipelines.
• Write scalable, production-grade code using modern software engineering practices.
• Deploy and manage analytical solutions in cloud environments.
• Translate complex outputs into actionable strategies for cross-functional leaders.
• Provide technical direction, code reviews, and mentorship to junior team members.

Skills

Python

Machine Learning

Data Pipelines

Mentorship

Commercial Acumen

Education

Master's or PhD in CS/Statistics/Mathematics

Bachelor's + 2+ years experience

Tools

GCP

Job description

Randstad Singapore is seeking a data-driven senior data scientist to lead end‑to‑end analytics initiatives and drive production‑level ML deployments. You will frame problems, optimize algorithms, and build scalable data pipelines while collaborating with cross‑functional stakeholders to translate complex insights into strategic actions.

You will mentor junior engineers, review code, and leverage cloud platforms such as GCP to deploy analytical solutions across large-scale global operations.