Senior Data Scientist

Randstad Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Randstad Singapore is seeking a lead data scientist to drive advanced analytics across global operations. You will shape problems, develop ML models, and deploy robust pipelines in cloud environments.

You will also mentor junior team members, translate technical results for business leaders, and ensure scalable, production-grade code. A strong background in statistics, data wrangling, and commercial data science is essential.

Qualifications

• Master's or PhD in CS/Statistics/Math or equivalent industry experience.
• Proven end-to-end data science delivery in a commercial setting.
• Strong Python and ML libraries proficiency.
• Experience building scalable cloud applications on GCP.

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 issues, build robust analytical pipelines.
• Write scalable, production-grade code with modern software engineering practices.
• Utilize cloud environments to deploy and manage analytical solutions.
• Translate complex outputs into actionable strategies for cross-functional leaders.
• Provide technical direction, code reviews, and mentorship to junior staff.

Skills

Python

Machine Learning

Data Wrangling

Cloud (GCP)

Mentoring

Business Acumen

Education

Master's or PhD in CS/Statistics/Math

Bachelor's + industry experience

Tools

GCP

Job description

Our client is an established multinational corporation operating within the technology sector. They are currently expanding their internal analytics capabilities to support large-scale global operations.

about the role

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

skills and experience

• Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, or a highly related quantitative field; or a bachelor's degree coupled with substantial industry experience.
• Proven track record of delivering end-to-end data science solutions in a commercial setting.
• Advanced programming proficiency in Python and standard machine learning libraries.
• Hands-on experience building scalable applications on cloud platforms such as GCP.
• Deep foundational knowledge in statistics, mathematical modeling, and data wrangling.
• Strong commercial acumen with the ability to navigate ambiguous environments and changing priorities.
• Demonstrated experience guiding or mentoring fellow technical professionals.