Job Description
The RoleThe Afterpay Touch Group is evolving quickly and aims to be the #1 leading retail technology company and an employer of choice. Our ambition is to become the world’s favorite way to pay for what we call life’s little essentials a new way of purchasing designed for and around our customers’ interests.The machine learning data scientists on the team play a key role in generating data-driven intelligence about our merchants and customers as we look to further enhance growth and deepen engagement. You will leverage Afterpay’s rich data and state-of-art machine learning techniques to develop data products that are used by millions of users and propel the growth of our business.
Key Responsibilities•Evaluate potential approaches, build features, algorithms, and determine metrics that are critical for machine learning models.•Take end to end ownership of Machine Learning systems - from data pipelines and training to real-time prediction engines.• Collaborate with platform engineers to implement algorithms and systems in an efficient way.• Work cross-functionally with Analytics, Product, Engineering to improve our existing Machine Learning systems.•Identify new opportunities to apply Machine Learning to different parts of the Afterpay product.
Minimum Qualifications• 3+ years of hands-on experience developing machine learning models at scale from inception to business impact.• Proven ability to tailor machine learning solutions to business problems in a cross-functional team.• Strong machine learning programming skills (Python, R, and SQL preferred).• Self-driven with the ability to work in a self-guided manner.• Superb communication and organization skills.Preferred Qualifications• Quantitative background in computer science, statistics, math, or related disciplines.• Relevant experience in risk management (fraud/credit), and/or in business growth.• Advanced knowledge of experimentation and statistical methods.• Deep understanding of modern machine learning techniques and their mathematical underpinnings, such as classification, personalization, recommendation systems, natural language processing, and computer vision.
Job Specification