Airwallex11 followers38 jobs

Senior Data Scientist, ANZ

SeniorFull-timeOfficeMelbourne VIC, AustraliaDataInformation technologySoftware engineeringPosted 1 month ago
View your fit0 of 9 criteria met

About the job

The job is about joining Airwallex's Strategic Data Science team, which plays a crucial role in providing data-driven insights to support the company's rapid growth. This team collaborates across various departments, ensuring alignment on metrics and data sources while tackling complex data challenges that shape the future of global fintech. Airwallex values a collaborative and innovative work environment where team members can grow their careers while making a significant impact.

You'll be responsible for

🤝

Being the go-to data partner for the Head of ANZ

Acting as the primary data resource for the Head of ANZ, providing insights and support for decision-making.
🔗

Partnering with various teams to align metrics and data sources

Collaborating with Sales, Marketing, Finance, Data Engineering, and Product teams to ensure consistency in metric definitions and data sources across the business.
🤖

Leveraging AI for insights and efficiency

Utilizing AI technologies to generate valuable insights and enhance business and team efficiency.

Skills you'll need

📊

Industry experience in a quantitative field

Having over 5 years of experience in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics.
🗣️

Excellent communication skills

Demonstrating strong communication abilities, particularly in influencing executive-level stakeholders.
💻

Expertise in data querying and scripting languages

Proficiency in SQL and scripting languages like Python or R for data analysis and manipulation.
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Meet the team

About the company

View your fit

0 of 5 criteria met
5+ years of industry experience
Demonstrated experience in a quantitative field such as Statistics or Computer Science.

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Excellent communication skills
Proven ability to influence executive-level stakeholders effectively.

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Expertise in forecasting
Strong background in applying advanced statistical methods for business forecasting.

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Data querying and scripting expertise
Proficient in SQL and scripting languages like Python or R.

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Experience with data architecture technologies
Familiarity with tools like Airflow, Databricks, and dbt.

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