By applying to this position, your application is automatically considered for the range of Data Science Tech Lead roles we have at Wayfair. If we think you might be a fit, a recruiter will reach out to learn more about your background and discuss relevant positions in more detail.

Wayfair is a leader in the e-commerce space for all things home. Wayfair’s community of Data Scientists use data and technology to ensure our customers can build a home that they love. Our platforms support millions of people searching every day for the perfect item, and our Marketing Data Science team drives development of world-class Machine Learning systems that improve our customer understanding and drive marketing decisions, ultimately enhancing customers’ shopping experience. Come help us innovate and grow to our next $10B in revenue!

We’re looking for an experienced Machine Learning Leader to drive the vision for a new area of model development in the Notifications Marketing space, operationalizing and scaling Machine Learning models and/or Reinforcement Learning systems to drive marketing decisions for Email and Push notifications. We’re looking for someone who not only enjoys writing code and seeing their ideas come to fruition on a global scale, but is also able to coach and upskill the data scientists, engineers, and marketers around them through leading by example.

What you’ll do

• Drive the vision for a new area of machine learning work with an ambitious charter
• Architect and develop end-to-end Machine Learning models/Reinforcement learning systems, working collaboratively with your team and cross-functional partners to build scalable solutions
• Partner with marketers to understand pain points and translate them into clear and robust data science solutions
• Build and own execution of a technical roadmap, ensuring that the vision aligns with broader company objectives
• Help grow the team through mentorship and developing learning opportunities
• Promote a culture of data science excellence and strengthen the technical expertise of our data science, engineering, and marketing teams

What you’ll need

• 5+ years of experience working as a professional data scientist or ML engineer, including autonomously designing and building production models and algorithmic decision-making systems at scale
• 2+ years of experience mentoring and developing data scientists, analysts, or engineers
• Hands-on experience developing and deploying ML models, data pipelines, and running experiments to validate your models
• Excellent communication skills with demonstrated experience driving teams forward and ability to influence technical decisions to line up with the company’s strategy
• Nice-to-haves:
• Experience with Google Cloud Platform, Airflow, and containerization (Docker)
• Experience using Contextual Multi-armed Bandits, or Reinforcement Learning in an applied setting
• Advanced degree (Master or PhD) in a quantitative field