Airwallex11 followers38 jobs

Senior Data Scientist, ANZ

SeniorFull-timeOfficeSydney NSW, AustraliaDataInformation technologyProduct managementPosted 2 months 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, tools, and insights to support the company's rapid growth. This team collaborates across various departments, ensuring alignment and prioritization of key business metrics. Working here means tackling complex data challenges alongside exceptional teammates, all while contributing to the future of global fintech.

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, ensuring they have the insights needed for decision-making.
🔗

Partnering with various teams to align metrics and data sources

Collaborating with Sales, Marketing, Finance, Data Engineering, and Product 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, or Computer Science.
🗣️

Excellent communication skills

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

Expertise in data querying and scripting languages

Proficiency in languages like SQL, 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 strategy with executive-level stakeholders.

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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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