About WayflyerOur mission is to empower eCommerce stores to unlock their full potential. Join us!Wayflyer is revolutionising eCommerce by levelling the playing field for founders across the world. Our first product, the Merchant Cash Advance, solves a major pain point for brands: access to short-term finance to fund inventory and marketing spend.Since launching in April 2020, we've deployed over $1.5bn in funding to 1,000's of eCommerce founders across 10 countries.We've helped companies like , and take their businesses to the next level. Check out this from Davie Fogherty, another one of our brilliant customers, giving a great explanation of what we do and how we helped go from strength to strength.We're a fast-growing, venture-backed startup that serves a critical need for eCommerce entrepreneurs. You'll be joining an ambitious, collaborative team that's working on a huge opportunity.We announced our in February 2022 raising $150m in funding at $1.6bn valuation; backed by world-leading VCs including QED and DST Global.Teams at Wayflyer are truly cross-functional. Regardless of your role at Wayflyer, you'll work with a variety of different disciplines and teams from around the world on a multitude of challenging projects and game-changing products to revolutionise the eCommerce landscape.Why this role?Data plays a vital role in everything we do here at Wayflyer. As a Senior Data Scientist, you will be a key contributor to our development by testing hypotheses, creating analysis, designing experiments, building predictive models, and surfacing recommendations to leaders across the business.You will work in a team with Finance to build solutions to our most complex challenges in quantitive risk, portfolio management and optimised pricing.What you'll doDevelop advanced statistical analysis and modelling to help inform in risk-based decision-making, including probability of default, exposure at default and loss given default models, risk segmentation, scenario analysis and stress testing.Design and carry out experiments to optimise pricing of our products across geographies and risk segmentsWork with our Finance team to inform strategic decision making and provide support in due diligence processes, audits and fund raising.Use modern machine learning techniques to uncover patterns in eCommerce, marketing and financial data, and productionise these models to serve predictions in customer facing web products.Design and develop automated reports using SQL/Python and Tableau to surface insights to the entire business.Contribute to and maintain a high quality codebase, ensuring code is well written, well tested and re-usableBuild reliable data pipelines and systems to improve, automate and scale our current business processes.Effectively communicate results, insights and data-driven narratives across the business.Mentor other Data Scientists within your team to ensure we are growing our skill base across the Data FunctionKnowledge, skills and experienceYou have experience working as a Data Scientist, developing predictive models using modern machine learning techniques.You have excellent communication, organisation and prioritisation skills, and have a strong ability to deliver results within tight timelines.You are a full stack Data Scientist and have the ability to learn new skills quicklyYou have strong coding skills with Python (or you are willing to learn quickly)You have a passion for startups and online businesses (these are our only customers!).What is important to point out is that you can do most or all of the above mentioned and can point to your real experience doing it. You've probably done it at companies of different shapes, sizes and industries. Given what we do, experience in financial services, fintech and business-to-business organisations is particularly interesting to us.On top of that, you're amazing at prioritisation. You make sure you're not spread too thin while also giving teams the support they need. You spend your time on the things that make a positive difference. People get why you've chosen to say 'yes', 'no', or 'not yet', and are ok with it.What you're like as a person and how you treat people is a big deal for us. People love working with you. You're helpful and generous with your time and knowledge. People love helping you back. People know where they stand with you.You're always looking to learn and grow, on a personal and professional level. And you're always looking to help others learn and grow by sharing your own knowledge and experience.You know why diversity, equality, inclusion and belonging matters, and speak up when we can do better.What happens nextWe'll review every application we receive. If we're interested in taking your application further, we will be in touch to find out more about you and what you're looking for.What perks and benefits do we offer?Equity schemePrivate healthcareGenerous paid leave + public holidaysHome working equipmentSupportive parent policiesFlexible workingOffices in Dublin, London, and Sydney
