The Merchant Insights Engineering team’s mission is to enable merchant partners to optimize Affirm value exchange to best support their unique business goals. This team works in close partnership with our product managers to build systems that bring unique value to our merchant partners. In particular, we focus on systems, models, and tools that help merchants intuitively understand how we support their business goals and the marginal value of partnering with Affirm. We strongly believe in aligning incentives between Affirm and our merchant partners such that we both win together.

We are looking for highly motivated senior engineers to help build this team in Poland. Come join us!

What You'll Do

• Design, develop, and deploy solutions that will help to bring value to the merchants’ business
• Build tools for partnering merchants to: 1) optimize their pricing programs, 2) analytics to help them understand the value of partnership with Affirm, 
• Partner with Analyst, Data Science, and Product engineering teams to build production machine learning models; your models will decide on the pricing strategies for merchant to help them achieve their business goals
• Develop our understanding of new data sources and how they may improve our existing processes
• Collaborate with other tech-leads, managers, and partners across Affirm's engineering, credit, marketing, and analytics teams to understand our performance modeling strategies, the business drivers underlying those strategies, and drive requirements for new products
• Serve as a trusted advisor on the application and implementation of machine learning across Affirm

What We Look For

• B.S. with 8+ years of industry experience, M.S. with 7+ years, PhD with 6+ years, or equivalent experience
• Demonstrated experience designing real time systems and writing production-quality software
• Experience with the AWS technical stack and data infrastructure such as MySQL, Spark, Kubernetes, Docker, and Airflow
• Proficiency in machine learning with experience in areas such as gradient boosting, deep learning, recommendation systems, computational advertising, reinforcement learning, financial forecasting, time series analysis, anomaly detection, monte-carlo simulations, and Markov decision processes
• Strong programming skills in Python. Experience using frameworks for machine learning and data science like scikit-learn, pandas, numpy, XGBoost, TensorFlow, mllib
• Excellent written and oral communication skills including the capability to drive requirements with product and engineering teams and present technical concepts and results in an audience-appropriate way
• Ability to work efficiently both solo and as part of a team; willingness to learn new things and mentor others
• Passion to change consumer banking for the better, while developing a deeper understanding of applied machine learning