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 sub teams, 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 | Data Science: 

We work closely with stakeholders across the business to build scalable ML solutions and algorithmic platforms that drive incremental revenue, enhance customer experience, & improve customer loyalty. 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. Data is at the heart of everything we do and there is very little at Wayfair that our Data Science team does not touch.

What You’ll Do | Responsibilities:

• Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
• Develop quantitative models, leveraging machine learning and advanced data analysis techniques to create novel solutions to complex business problems
• Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site
• Drive measurable business value collaborating with business teams to change the course of Wayfair
• Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
• Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers
• Work with a team of friendly and motivated scientists working together to build 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 quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics, Economics, etc. )
• An affinity for data along with experience leveraging statistics and regression analysis is a plus.
• Experience with or an interest and ability to quickly learn SQL and Hadoop.
• Experience with or interest and ability to quickly pick-up programming skills relevant to data science such as Python and R.
• Quick learner with an analytical approach to solving problems as part of a team who has good communication skills.
• Must be a hard worker who enjoys solving challenging problems in a fast-paced environment.