Senior Data Scientist, GTM Analytics at Airwallex - Singapore

Role Overview

Airwallex is seeking a highly skilled and motivated Senior Data Scientist to join our GTM Analytics team in Singapore. This role is pivotal in driving revenue growth and improving commercial efficiency through data-driven insights. As a Senior Data Scientist, you will partner closely with Product, Growth, and Commercial teams to develop and implement state-of-the-art solutions to GTM challenges. You will be responsible for translating complex data into actionable insights, building revenue forecasting models, and applying advanced causal inference methods to quantify the impact of GTM initiatives. This is an excellent opportunity for someone who thrives in a fast-paced environment, enjoys tackling complex problems, and is passionate about leveraging data to drive business outcomes.

A Day in the Life

Here’s what a typical day might look like for a Senior Data Scientist at Airwallex:

• Morning: Start your day by reviewing key GTM metrics and identifying any emerging trends or anomalies. Collaborate with the Growth team to understand their priorities and challenges.
• Mid-day: Dive into data analysis, using SQL and Python to explore potential revenue levers and root causes behind shifts in key metrics. Develop and refine statistical models to forecast revenue and pipeline health.
• Afternoon: Meet with the Product team to discuss how data insights can inform product development and GTM strategies. Prepare a presentation for executive leadership, summarizing key findings and recommendations.
• Late Afternoon: Work on building and automating data pipelines to ensure data accuracy and availability. Mentor junior data scientists on the team, providing guidance and support.
• Evening: Stay up-to-date on the latest trends in data science and analytics by reading research papers and attending industry events.

Why Singapore?

Singapore is a global hub for finance and technology, offering a vibrant and dynamic environment for professionals in the data science field. Airwallex's Singapore office is strategically located to serve the Asia-Pacific market, providing access to a diverse range of customers and partners. The city-state boasts a highly skilled workforce, world-class infrastructure, and a supportive regulatory environment, making it an ideal location for innovation and growth. Furthermore, Singapore offers a high quality of life, with excellent schools, healthcare, and cultural attractions.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you can advance your career in several directions:

• Principal Data Scientist: Lead a team of data scientists and take on responsibility for more complex and strategic projects.
• Data Science Manager: Manage a team of data scientists and oversee the development and execution of data science initiatives.
• Director of Data Science: Lead a department of data scientists and set the strategic direction for data science within the company.
• Technical Lead: Become a subject matter expert, focusing on research and cutting edge model development, while mentoring other members of the data science team.

Salary & Benefits

The estimated salary range for this position in Singapore is $120,000 - $180,000 USD per year. Airwallex offers a comprehensive benefits package, including:

• Medical, dental, and vision insurance
• Paid time off and holidays
• Employee stock options
• Professional development opportunities
• Flexible work arrangements
• Company-sponsored events and activities
• Commuter benefits
• Wellness programs
• Generous parental leave policy
• Life insurance
• Disability insurance

Airwallex Culture

Airwallex is a fast-paced, innovative company with a strong focus on collaboration and customer success. We value employees who are proactive, results-oriented, and passionate about making a difference. We believe in empowering our employees to take ownership of their work and providing them with the resources they need to succeed. We are committed to creating a diverse and inclusive work environment where everyone feels welcome and respected.

How to Apply

If you are interested in applying for this position, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience and skills, and explain why you are a good fit for Airwallex.

FAQ

1. What is Airwallex?

   Airwallex is a global payments and financial platform for modern businesses, offering solutions for business accounts, payments, spend management, and treasury.

2. What is the GTM Analytics team?

   The GTM Analytics team is responsible for providing data-driven insights to support Airwallex's go-to-market strategy.

3. What skills are required for this role?

   The ideal candidate will have strong skills in data science, statistical modeling, causal inference, SQL, Python, and communication.

4. What are the responsibilities of a Senior Data Scientist?

   Responsibilities include translating complex data into actionable insights, building revenue forecasting models, and applying advanced causal inference methods.

5. What is the career path for this role?

   Potential career paths include Principal Data Scientist, Data Science Manager, and Director of Data Science.

6. What is the salary range for this position?

   The estimated salary range for this position in Singapore is $120,000 - $180,000 USD per year.

7. What are the benefits of working at Airwallex?

   Airwallex offers a comprehensive benefits package, including medical, dental, and vision insurance, paid time off, and employee stock options.

8. What is the company culture like?

   Airwallex has a fast-paced, innovative culture with a strong focus on collaboration and customer success.

9. How do I apply for this position?

   Please submit your resume and cover letter through our online application portal.

10. What is the interview process like?

    The interview process typically includes a phone screening, a technical interview, and a final interview with the hiring manager.