Data Scientist PhD
Introduction to the team:
The Data Science group is made up of team members with diverse skill sets across math and engineering, dedicated to solving some of the most analytically challenging problems here at Wayfair. The work we do encompasses:
- Data mining - uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how act on findings
- Algorithm design - develop quantitative models, leveraging machine learning and advanced data analysis techniques
- Algorithm platform engineering - architect and build technical platforms for our algorithmic engines to run at scale
- Influencing business decisions - relentlessly leverage our work and encourage adoption across our business partners, to drive real business value
As part of this role, you will be a creative thinker in how to solve problems, utilizing quantitative/technical skills along with business understanding to devise solutions. You’ll work within Wayfair’s big data technology infrastructure in order to dive deep into our data sets and develop innovative new capabilities.
The Data Science department covers three main topic areas. You will work in one of the following:
Data Science Personalization builds sophisticated platforms designed to personalize customer experience to millions of unique shoppers across site and email. This includes working on different types of recommendations engines, as well as algorithms that machine-learn complex shopping behavior. The goal is to be intelligent and automated in making the experience more relevant for every user.
Data Science Marketing builds the framework and algorithms that help guide Wayfair’s $250M+ annual marketing investment. The work touches all marketing channels (TV, catalog and digital) and aims to improve our ability to measure marketing impact, improve our customer targeting and optimize our investments across millions of marketing campaigns.
Data Science Operations builds data-driven solutions to support Wayfair operations teams, including Merchandising Operations, B2B, Supplier Performance, and Customer Service. The big goals are to enhance Wayfair’s behind-the-scenes operational capabilities through rigorous use of algorithms and analysis.
- Partner closely with business leads in Marketing, Product, or Operations to plan out valuable data science projects
- Work in complex data systems and wrangle data from multiple sources including sales, customer, and clickstream databases
- Conduct analysis and build models to uncover key learnings from data, leading to appropriate strategy recommendations
- Serve as an algorithm and engineering lead to build advanced quantitative solutions into our overall technical platform
- Work alongside business stakeholders to apply our findings and developments and continually improve the Wayfair customer experience
- 2+ years of experience in a quantitative or technical work environment or advanced degree (PhD) in quantitative field (e.g. mathematics, economics, computer science, 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 business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
- High comfort level with programming, e.g. languages such as SQL, Python, R, Scala, Java, C++, C#, PHP, etc
- Knowledge of quantitative methods – statistics, machine learning, general data analysis
- Intense intellectual curiosity – strong desire to always be learning
- Analytical, creative, and innovative approach to solving open-ended problems
- Highly collaborative, team-player attitude
About Wayfair Inc.
Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 10 million items across home furnishings, décor, home improvement, housewares and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes - from product discovery to final delivery.
The Wayfair family of sites includes:
- Wayfair, an online destination for all things home
- Joss & Main, where beautiful furniture and finds meet irresistible savings
- AllModern, unbelievable prices on everything modern
- Birch Lane, a collection of classic furnishings and timeless home décor
- Perigold, unparalleled access to the finest home décor and furnishings
Wayfair generated $5.2 billion in net revenue for the twelve months ended March 31, 2018. Headquartered in Boston, Massachusetts with operations throughout North America and Europe, the company employs more than 8,700 people.
Wayfair does not accept unsolicited candidate referrals or resumes / CVs from third-party vendors, including recruitment agencies. Wayfair will not be responsible or liable for any fees or costs associated with such unsolicited submissions.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.