Data Scientist – Full Time 2022
Who We Are | Data Science
Wayfair’s Data Science team builds the algorithmic systems that drive our business. The Data Science and Machine learning team builds the algorithmic systems that drive our business. With 9 expansive workstreams (Search, 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. 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) Developing novel machine learning models to identify latent customer preferences so that the best products can be highlighted in real-time to our customers, (2) optimizing diversity in the sales we highlight in a customer’s email or (3) 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. Data is at the heart of everything we do and there is very little at Wayfair that our Data Science and Machine learning team does 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.
Data Science Generalist
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 and scale state-of-the-art machine learning method and quantitative models to address core 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
- Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company
- 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
- Collaborate with data scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices
- Bonus: You will learn a ton and will have fun.
What You’ll Need | Qualifications
- Recently graduated or soon graduating from a PhD 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.
- Understanding of machine learning techniques such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.
- Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
- 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. Very big plus for High comfort level with languages and tools such as Python, Hadoop, github, pyspark, Docker, SQL;
- Familiarity with data structures, algorithms, OOP, and programming in a team environment
- Quick learner with an analytical approach to solving problems as part of a team who has good communication skills.
- Ability to thrive in a dynamic environment where there can be degrees of ambiguity
- Ability to effectively work with technical leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence technical decisions
- 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.
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.