Wayfair’s Data Science team builds the algorithmic systems that drive our business. With 7 expansive workstreams (Pricing, Personalization & Recommendations, Merchandising, Marketing, B2B, Computer Vision, and Operations), and more than 20 specialized subteams, our projects span from enormously broad to minutely specific. The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment. Take for example (1) determining how to implement AR technology to improve the shopping experience versus (2) optimizing diversity in the sales we highlight in a customer’s email. There is very little at Wayfair that our Data Science team does not touch. They work closely with stakeholders across the business to ensure that our data driven insights do not collect dust. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large.

We are seeking a team lead, who is well-versed in advanced modelling and machine learning, to take over and own multiple of our European workstreams and to support the further growth of our Berlin Data Science branch.

This particular role will focus on improving supply chain and operational planning through initiatives such as sales forecasting, delivery date estimation, and call center optimization.

Check out some of the work that we do here: https://tech.wayfair.com/data-science/


What You’ll Do:

  • Lead a team of data scientists responsible for designing and executing algorithmic solutions
  • Serve as a consultative partner to business and product leaders to understand their needs and how they translate into models
  • Explore opportunities both in terms of business needs and in terms of what is technically feasible
  • Plan projects and manage their execution, prioritizing between competing interests and providing technical guidance
  • Facilitate implementation of models into production by working with partners in engineering
  • Connect and communicate data-science projects to stakeholders and teams company-wide


What You’ll Need:

  • BA/BS/MS/or PhD ideally in Operations Research, Industrial Engineering, Statistics, Economics, Applied Mathematics or other quantitative field
  • Experience in a corporate, start-up, or research environment
  • Hands-on project experience in advanced modelling and machine learning, high comfort level with programming (i.e. Python/R or similar, SQL)
  • Prior experience leading and developing direct reports
  • Talent for effective communication
  • Intellectual curiosity – desire to always be learning
  • Prior experience in supply chain or workforce management

 

About Us

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.

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