Senior Data Scientist - Xero
View Company Profile- Job Title
- Senior Data Scientist
- Job Location
- Melbourne, AU
- Job Description
- 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 TeamThe 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 RoleAs 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:- 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).
Everything You Need, One Platform.
From job listings to startups, investors to funding rounds, and everything in between, Employbl puts the power in your hands. Why wait?
Start your free trial today!Stay Ahead of the Curve
Sign up for our newsletter to stay informed about the latest startups and trends in the tech market. Let Employbl be your guide to success.
Xero Company Size
Between 2,000 - 5,000 employees
Xero Founded Year
2006
Xero Total Amount Raised
$1,606,395,392
Xero Funding Rounds
View funding detailsPost Ipo Debt
$925,000,000 USD
Post Ipo Debt
$300,000,000 USD
Post Ipo Equity
$26,400,000 USD
Post Ipo Equity
$110,800,000 USD
Post Ipo Equity
$150,000,000 USD
Post Ipo Equity
$49,000,000 USD
Post Ipo Equity
$16,600,000 USD
IPO
$0
Post Ipo Equity
$3,000,000 USD
Post Ipo Equity
$13,595,300 USD
Post Ipo Equity
$12,000,000 USD