Senior Manager Machine Learning - Customer Personalization

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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.

About the team: This role is part of the Kairos Data Science team, which consists of data scientists, engineers, and product managers responsible for building a highly scalable ML-based customer personalization platform. We process petabytes of data and 20k+ customer features to train machine learning models and optimization algorithms that help us predict, as accurately and as early as possible,  what the customer needs, what makes them unique, where they are in the consideration cycle, and more. Our ML products are leveraged across the enterprise to drive many downstream content, targeting, bidding, and other decisions across many channels and placements. We have a global scope and power decisions across all Wayfair markets (US, Canada, EU) and stores (Wayfair, AllModern, Joss & Main, Perigold, and Birchlane).

 

About the role: We are looking for a technical and team leader to join Wayfair’s Kairos Data Science team, to own the Customer Personalization model suite. You’ll develop and maintain machine learning models for representing the customer’s style and price preferences, buying habits, brand-affinity, and more. Your scope will include both building new models as well as supporting existing models that are already in production. You will also manage a team of 2-3 Machine Learning Data Scientists.

 

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 managing and mentoring 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

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.