Job Description
Join a movement in which everyone can win. We started a movement in which everyone can win shoppers, retailers, society, and every person on our team. To play fair, trust people and reward them for doing the right thing. We are obsessed with our product. We see and feel the impact of our work as more and more people gain financial freedom and retailers grow across the globe.
Afterpay is offered by more than 55,000 of the world’s best retailers and has more than 10 million active customers globally. Afterpay is offered by top fashion and beauty retailers across the globe - including E-bay, The Iconic, Myer, Foot Locker, Adore Beauty, Mac Cosmetics, Kathmandu, and many others. We are currently available in Australia, New Zealand, the United States, and the United Kingdom where the brand is called Clearpay.The OpportunityYou will be a hands-on Associate Data Scientist responsible for building a foundational customer insight capability. This capability will allow us to drive deep insight into customer behaviours that drive value for merchants and consumers, resulting in commercial outcomes for Merchants and Afterpay..
You will work closely with the Behavioural Science team to build out these foundations by identifying user needs, sourcing data, cleaning and enriching it for use in Machine Learning models.
You can work closely with technical and non-technical stakeholders to identify requirements and apply your knowledge of machine learning and statistics to increase our speed to value. You will succeed by combining analytical insight, technical proficiency, business acumen, and the ability to collaborate and influence your key partners.
We are much more than our job descriptions - we are our energy, our ideas, our everyday drive. Here’s where you will begin.
-Development of a feature store to supercharge time to insight and time to production of machine learning models-Define the preprocessing or feature engineering to be done on modelling datasets-Build machine learning algorithms for the purpose of customer insight and activation-Engage with engineering, product, and other analytics teams to deliver on major cross-functional projects-Work with data scientists and behavioural scientists to accelerate the speed to production of algorithms-Exploring and visualizing customer data-Defining Afterpay’s customer model validation strategies and verifying data quality for the purpose of machine learning-Analyzing the errors of a model and designing feature engineering strategies to overcome them
Who are you?Like us, you’ll be obsessed with our product. You’ll get a kick out of seeing and feeling the impact of your work as more and more people gain financial freedom and retailers grow across the globe.
-You will have a deep theoretical understanding of statistics, machine learning, and/or computer science, alongside an awareness of the pre-processing requirements of modern algorithms-You have some experience with advanced analytics, data science and machine learning-You have experience delivering against a data science roadmap-You have experience collaborating with data scientists, data engineers, and business stakeholders-You have experience working in B2C technology, Enterprise or Retail organisations with large customer datasets-You have a track record of delivering data-driven solutions
We play fair and reward you for doing the right thing. You will enjoy working from our beautiful office space in Melbourne and feel trusted to work flexibly, remaining connected to smart people in all our locations. We put opportunity before optimism and plan our careers quarterly not annually. We are proud to support working parents of all genders in every country with a market-leading, equitable parental leave program including access to up to 24 weeks of paid leave.
When you’re built from the ground up, there’s always room for growth. To challenge each other and shape a legacy built on real purpose, talent, and grit.
How to Apply: We don’t know what the future holds. That’s the exciting part; we show up and make it happen. If you’re excited by this opportunity, click apply now!
Job Specification