Location:  Boston, MA

About Wayfair: Wayfair is a publicly traded e-commerce company that offers an extensive selection of home furnishings and décor across all styles and price points. The Wayfair family of brands includes:

• Wayfair, an online destination for all things home
• Joss & Main, where beautiful furniture and finds meet irresistible savings
• AllModern, a go-to online source making modern design more accessible
• Birch Lane, a collection of classic furnishings and timeless home décor
• Perigold, a luxury furniture and décor site

Wayfair generated more than $9 billion in net revenue in 2019. Headquartered in Boston, Massachusetts with operations throughout North America and Europe, the company employs more than 17,000 people.

LEADERs Opportunity:

Wayfair is seeking analytical and action oriented candidates for the Data Science and Machine Learning Engineer opportunities starting in June 2021. The Data Science and Machine learning team builds the algorithmic systems that drive our business. With 8 expansive workstreams (Pricing, Personalization & Recommendations, Merchandising, Marketing, Measurement, B2B, Computer Vision, and Operations), and more than 20 specialized subteams, the projects that our teams work on directly impact our customers on a massive scale. When applying, please indicate your top choice for team placement, either Data Science or Machine Learning Engineer. If we notice a strong alignment for a team other than those indicated in the application, we will also consider you for that opportunity.

Who We Are | Machine Learning

We look for driven experts who are passionate about machine learning and applying it to solve real business problems at scale as part of a collaborative team environment. Working on projects such as:

• Developing novel machine learning models to identify latent customer tastes so that the best products can be highlighted in real-time to our customers.
• Build a pipeline to scale algorithms to determine the causal impact of different steps in a customer’s journey across our millions of customers so we can determine what drives incremental value and iterate across the business
• Create machine learning solutions to detect product duplicates across the millions of products in our catalog and scaling the solution to handle real-time uploading of new products by partners.

There is very little at Wayfair that our machine learning engineers do not touch. They work closely with data science teams across the business to build and scale novel solutions to business problems via machine learning. 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 and the algorithms you create will directly impact the customer’s experience.

What You’ll Do | Responsibilities

• 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
• Leverage your expertise in scalable system design, working with the develops team, as part of a culture of engineering practices
• Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company
• 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

Disciplines: CS, Math, Network Science, Industrial Engineering, Physics, Economics, Statistics

What You’ll Need | Qualifications:

• Currently enrolled in a PhD degree program in a program focused within either Statistics, Economics, Mathematics, Computer Science or other major with a heavy quantitative concentration (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)
• Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
• Ability to effectively work with technical leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence technical decisions
• High comfort level with languages and tools such as Python, Hadoop, github, pyspark, Docker,SQL; strong familiarity with data structures, algorithms, OOP, and programming in a team environment
• High level understanding of machine learning (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
• Bonus points for being hands on, while providing technical leadership and driving strategic initiatives for your team

No matter the position that you choose, you will have the opportunity to play a critical role in a growing company while also operating with a high level of executive visibility. The team is focused on creating strategic solutions that steer customer behavior, influence key decision making and quantify our impact within the e-commerce space. Our diverse and fun employees enjoy an environment of strong ownership and quick feedback from building, experimenting and iterating on high-impact work.