Jobs and Careers
XE
Senior Data Scientist
XeroSan Francisco, United Statesfull_timeVerifiedPosted 10 May 2024
About the role
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 Senior 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.
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 Senior 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:
- Ideally 5+ years experience in Analytics.
- 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).
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