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Staff Data Scientist Engineering

SpringCube

Full time - Senior Engineer

Fintech

Singapore, All Areas

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A global fintech company provides a unified payments and financial platform for businesses worldwide. Leveraging proprietary infrastructure and software, the organization empowers over 200,000 businesses with integrated solutions for business accounts, payments, spend management, treasury, and embedded finance. With a global team of over 2,000 across 26 offices, the company is valued at US$8 billion and backed by leading investors. The organization fosters innovation, ambitious problem-solving, and career growth in the financial technology space.

About the Role
The Staff Data Scientist Engineering role is based in Singapore and involves leading and mentoring data science initiatives while collaborating with cross-functional teams to deliver actionable insights and scalable solutions. This position requires ownership from day one, analytical rigor, and the ability to leverage AI to solve complex problems.

Responsibilities

  • Provide hands-on technical leadership and mentorship to the data science team, resolving complex problems and setting long-term strategic direction
  • Serve as a strategic thought leader, partnering with cross-functional teams to inform and influence investment and product strategy
  • Apply quantitative analysis, experimentation, data mining, and visualization to develop actionable insights and strategies
  • Identify, track, and measure success of product efforts through goal setting, forecasting, and monitoring key product metrics
  • Translate analytical insights into scalable models, tools, and data foundations

Minimum Qualifications

  • 7+ years of industry experience and an advanced degree (PhD or MS) in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics
  • Proven ability to communicate analysis results to leadership and cross-functional teams to influence strategy
  • Technical mentorship experience in machine learning and experimentation in an industry setting
  • Expertise in data querying (e.g., SQL), scripting (e.g., Python), and statistical/mathematical software (e.g., R)

Preferred Qualifications

  • Experience in schema design and dimensional data modeling
  • Background in technology, financial services, or high-growth environments

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.