Senior Data Scientist, People and Talent

The Data Science team at Airwallex builds the data foundations, models, and decision-support systems that help the business scale with speed and precision. We partner closely with leaders across the company to solve high-impact problems through analytics, experimentation, machine learning, and data products.

Within this team, you'll be the dedicated data science partner for our People & Talent (P&T) function - the team that builds the systems, insights, and experiences behind how Airwallex attracts, grows, and retains exceptional people at global scale. You'll work closely with P&T, Finance, and Engineering to improve how HR and recruiting data is modelled, governed, and used, and help shape a more scalable, self-serve, and AI-enabled analytics ecosystem for people's decisions.

As Senior Data Scientist, People and Talent, you will own the People & Talent (P&T) data domain at Airwallex and turn our HR and recruiting data into a scalable analytics foundation for the business. You will define how headcount, hiring, and people metrics are modeled, governed, and accessed, and you will build the pipelines, dashboards, and self-serve tools that power decisions across P&T, Finance, Revenue Strategy, and Engineering.

This role combines hands-on data engineering and analytics with product thinking and stakeholder management: you will manage the roadmap for P&T data, act as the subject matter expert on people data, and drive continuous improvements in automation, governance, and AI-enabled insights. You will also build context layers that make people data more accessible and meaningful across the business, and enable AI analytics capabilities that help P&T teams move faster and make better decisions.

- Own and manage all People & Talent (P&T) data assets, ensuring robust data models, pipelines, documentation, and governance across all HR and recruiting systems.

- Build and maintain scalable dashboards, reports, and self-serve analytics supporting stakeholders in People & Talent, Finance, Revenue Strategy, and Engineering.

- Partner with cross-functional teams to prioritize requests, manage the P&T analytics roadmap, and drive improvements in automation, data quality, and end-user access workflows.

- Act as the subject matter expert on people data, supporting metric definition, troubleshooting, and user guidance, while upholding strict governance and privacy standards.

- Enable AI-powered and self-serve analytics use cases, and continuously identify opportunities to enhance the P&T analytics ecosystem to support global growth.

We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory.

- 5+ years of experience in data science, analytics, or a related quantitative field, with end-to-end ownership of data models, pipelines, and dashboards in a production environment.

- Advanced degree (MS or PhD) in Statistics, Computer Science, Engineering, Economics, or a related field.

- Strong hands-on proficiency in SQL and Python and/or R, with experience working with large and complex datasets, data transformations, and building robust data solutions.

- Experience with cloud data platforms such as Databricks (including Delta tables) and transformation frameworks like dbt.

- Proven ability to translate ambiguous business challenges into clear analytics projects, apply structured problem-solving, and communicate insights to both technical and non-technical stakeholders.

- Experience in causal inference, experimentation, or forecasting to analyze and explain key metric changes.

- Strong documentation skills and familiarity with tools such as Hex or other notebook-based analytics platforms.

- Hands-on experience with HR and recruiting data systems (e.g., BambooHR, Ashby, HRIS/ATS), including knowledge of data quirks, unique identifiers, and common update patterns.

- Exposure to high-growth technology or fintech environments, especially in contexts where People & Talent analytics intersect with Finance, Revenue Strategy, or GTM teams.

- Understanding and application of rigorous data governance, privacy standards, and user access controls, especially for sensitive people and HR data.

- Experience with AI-powered analytics, self-serve tools, or LLM-powered data access solutions is a plus.

- Excellent communication skills, strong curiosity, and the ability to build effective partnerships across cross-functional teams.