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Senior Data Scientist, Analytics Job Opening In Singapore, Singapore – Now Hiring Airwallex


Job description

Overview

Senior Data Scientist, Analytics role at Airwallex .

Airwallex is the only unified payments and financial platform for global businesses.

Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 1,700 of the brightest and most innovative people in tech across 26 offices around the globe.

Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future.

If you’re ready to do the most ambitious work of your career, join us.

About The Team

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth.

You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.

Location

This role is based in Singapore.

Responsibilities

  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Who You Are

We’re looking for people who meet the minimum qualifications for this role.

The preferred qualifications are great to have, but are not mandatory.

Minimum Qualifications

  • 5+ years of industry experience and a degree in a quantitative field
  • Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
  • Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).

    Experience in schema design and dimensional data modeling a plus
  • Ability to perform statistical analysis to drive data-informed decisions

Preferred Qualifications

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

Equal opportunity

Airwallex is proud to be an equal opportunity employer.

We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent.

We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions.

If you have a disability or special need that requires accommodation, please let us know.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology
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Required Skill Profession

Database, Analytics & Bi


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


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Are You Looking for Senior Data Scientist, Analytics Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Airwallex adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Senior Data Scientist, Analytics Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Scientist, Analytics?

Key qualifications for Senior Data Scientist, Analytics typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Scientist, Analytics Job Success

Airwallex interview tips for Senior Data Scientist, Analytics

Here are some tips to help you prepare for and ace your Senior Data Scientist, Analytics job interview:

Before the Interview:

Research: Learn about the Airwallex's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Scientist, Analytics interview at Airwallex, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Airwallex's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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