Senior Data Scientist - Remote, Drive Product Impact

Triwill Group; Singapore; Hybrid; SGD 182,000 - 191,000; Full time

Job summary

Coinbase is seeking a Data Scientist to advance consumer products from spot and advanced trading to new launches. You will define metrics, build causal frameworks, and translate insights into product strategy and shipped improvements.

You will drive analyses, own data and metrics, and lead code reviews, applying statistical rigor and modern modeling techniques to influence decisions across Product, Engineering, and Design.

Qualifications

• BA/BS in a quantitative field with 5+ years of relevant experience, or a PhD with 3+ years of relevant experience.
• Proven track record delivering impactful data science work in ambiguous problem spaces.
• Ability to synthesize complex data into compelling narratives that influence stakeholders.
• Experience applying advanced modeling frameworks to real business problems.
• Professional proficiency in SQL and Python.
• Experience working with digital products in an iterative development cycle.

Responsibilities

• Drive analysis and deep dives on ambiguous business problems, delivering insights and recommendations that guide team decision-making.
• Own a broad scope of data and metrics — from core logging to polished data visualizations.
• Lead code reviews, contribute SQL and Python expertise, and maintain reliable ETL pipelines.
• Uphold a high bar for statistical rigor, ensuring experimentation and causal analyses build genuine confidence with stakeholders.

Skills

SQL

Python

Storytelling

Statistical rigor

Experimentation

Data visualization

Stakeholder communication

Education

BA/BS in quantitative field

PhD (optional)

Tools

ETL pipelines

Data visualization tools

Job description

Coinbase is seeking a Data Scientist to advance consumer products from spot and advanced trading to new launches. You will define metrics, build causal frameworks, and translate insights into product strategy and shipped improvements.

You will drive analyses, own data and metrics, and lead code reviews, applying statistical rigor and modern modeling techniques to influence decisions across Product, Engineering, and Design.