Machine Learning Scientist, Wayfair

• Graduating from a PhD program, or 3+ years of relevant experience with a MSc/BaSc in quantitative field (engineering, computer science, economics, etc.)
• Proficiency in Python or one other high-level programming language
• A strong theoretical understanding and solid hands-on expertise deploying reinforcement learning solutions into production
• Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity
• Intellectual curiosity and enthusiasm about continuous learning
• Well-rounded understanding of machine learning fundamentals (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
• Ability to thrive in a dynamic environment where there can be degrees of ambiguity
• Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)

Desirable

• Develop and scale state-of-the-art machine learning methods to address core business problems
• Architect and support technical platforms for our algorithmic engines to run at scale
• Build end-to-end ML solutions and pipelines to run in real-time, scaling algorithmic insights to impact millions of Wayfair customers
• Own the full machine learning life-cycle from conception to prototyping, testing, deploying, and measuring overall business value driven by your work as part of a dynamic team
• Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)
• Collaborate with data scientists to create maintainable, scalable and debuggable code by bringing strong software development practices
• Work with a team of friendly and motivated scientists and engineers to build and scale novel solutions to business problems