Wayfair Data Science Machine Learning Opportunities at Wayfair

Location(s): Austin,TX- Boston, MA- San Francisco,CA- Toronto, Canada
Team Description: Wayfair’s Data Science 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, 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.
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.  As a Data Scientist at Wayfair, 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.
What You'll Do
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, engineers, and product managers to build novel solutions to business problems
What You'll Need
1-4+ years of experience in a quantitative or technical work environment and an advanced degree (PhD) or Masters in quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)
Machine Learning experience (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning strongly preferred
Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc.
Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives
Ability to thrive in a dynamic environment with ambiguity
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.