Data Scientist

Xero is a beautiful, easy-to-use platform that helps small businesses and their accounting and bookkeeping advisors grow and thrive.

At Xero, our purpose is to make life better for people in small business, their advisors, and communities around the world. This purpose sits at the centre of everything we do. We support our people to do the best work of their lives so that they can help small businesses succeed through better tools, information and connections. Because when they succeed they make a difference, and when millions of small businesses are making a difference, the world is a more beautiful place.

About the Team

The Data team is responsible for driving the adoption of data driven decision making across Xero - for both our internal users and our global audience of small business owners, bookkeepers and accountants.

We create, manage and deliver a wide range of data services and products including core reporting, key data dimensions, extensible and scalable analytical data processing and storage facilities, machine learning frameworks and API driven prediction services.

We are the centre of expertise for data architecture, data modelling, machine learning, ethical data usage and artificial intelligence service design. We also lead the work to raise the data and AI literacy levels across Xero.

Xero views the application of intelligent, data-driven products and services at scale as a key competitive advantage for our business, now and into the future.

About the Role

As a Data Scientist, you will work with colleagues in the Data team and subject matter experts from across the business to refine tough problems that can be solved with the application of scientific thinking, algorithms, and analytical data processing.

By actively living Xero’s values, you will contribute to our culture of collaboration, mutual respect, healthy skepticism, and embracing a growth mindset.

As part of a cross-functional team including engineers, designers and product owners you will build and operate beautiful, intelligent products and services that delight our users everyday.

What you'll do:

• Immerse yourself in Xero’s data, wrangling often complex and messy data and contribute to our shared understanding of the value contained in our data stores.
• Apply sound scientific methods (i.e. hypothesis generation, experimentation, analysis) to drive product development (e.g. model development, model evaluation, POC design).
• Lead in hypothesis driven experimentation and deliver measurable impact through holdouts.
• Work to achieve and maintain high personal coding standards, collaborating with other scientists and engineers to produce robust and reproducible code
• Together with engineers, maintain and operate the end-to-end pipelines that support data-intensive applications at Xero.

What you'll bring with you:

• Previous experience in a similar analytics role.
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
• Bachelor's, Masters, or Ph.D in Mathematics, Computer Science, Computer Engineering, relevant technical field; or equivalent practical experience.
• Ability to grasp the mathematical concepts that underpin the domains outlined above.
• Strong communication skills and the ability to tailor a message for peers, and stakeholders (technical and non-technical).

Please note applications will close EOD Thursday 6th February

Why Xero?

Offering very generous paid leave to use however you’d like (plus statutory holidays!), dedicated paid leave to care for your physical and mental wellbeing as well as an Employee Assistance Program to access mental health care for you and your family, health insurance, life insurance, and income protection, wellbeing and sports programmes, employee resource groups, 26 weeks of paid parental leave for primary caregivers, an Employee Share Plan, beautiful offices, flexible working, career development, and many other benefits that reflect our human value, you’ll do the best work of your life at Xero.