# Senior Data Scientist, Analytics (Risk & Payments)

**Company**: Airwallex
**Location**: Singapore
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/airwallex/4401779c-419c-46d4-9c9d-4aea013652a5?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-data-scientist-analytics-risk-and-payments-7c7c9118-842/

## Description

As a Senior Data Scientist, Analytics (Risk & Payments) at Airwallex, you will design and implement rigorous frontend experiments to improve the payment product experience and payment success rates.

You will identify and quantify opportunities to improve and grow the payments product, and drive roadmaps with those insights. Your responsibilities will also include translating open-ended business problems into clearly defined data science initiatives, building scalable measurement frameworks and strategic north star metrics, and communicating data insights and recommendations to technical and non-technical audiences.

The ideal candidate will have 7+ years of industry experience in a quantitative field, proven experience in experimentation and causal inference, excellent communication and interpersonal skills, and strong skills in SQL and Python/R.

Key Responsibilities:

- Design and implement rigorous frontend experiments to improve the payment product experience and payment success rates

- Identify and quantify opportunities to improve and grow the payments product, and drive roadmaps with those insights

- Translate open-ended business problems into clearly defined data science initiatives

- Build scalable measurement frameworks and strategic north star metrics to enable consistent, data-driven decision-making across teams

- Communicate data insights and recommendations to technical and non-technical audiences

- Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives

Qualifications:

- 7+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)

- Proven experience in experimentation and causal inference to drive data-informed product decisions with concrete impact

- Excellent communication and interpersonal skills; proven ability to influence product strategy in high-growth environments

- Strong skills in SQL and Python/R; experience with data modeling a plus

- Experience in technology, financial services and/or a high growth environment is advantageous

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## Skills

### Required
- SQL
- Python/R
- data modeling
- experimentation
- causal inference

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/airwallex/4401779c-419c-46d4-9c9d-4aea013652a5?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)