Machine Learning Scientist (m/f/x)

Data Science Live Help team builds and maintains data science products supporting Wayfair’s live customer contacts and customer order issue remediation which outperform traditional software by utilizing adaptive, data-driven technologies.  We have been a partner in the success of our business by saving millions of dollars each year through infusing machine learning into contact operations, using our intelligent resolution recommendation systems like Dynamic Discount to Keep model which uses AI to offer a fair discount to customers in post delivery incidents. Nevertheless, we strive to go beyond by exploring new opportunities to use machine learning across our Service organization to better help over 100 million customers at Wayfair.

The Machine Learning Scientist role within the Data Science Live Help team at Wayfair will develop and deploy machine learning models that power algorithmic decision-making across the business. This role is responsible for developing and advancing the scope in making customer order incident resolutions and returns a more personalized experience for our customers. To do so you will work with a great team of Machine Learning scientists, business stakeholders and Machine Learning engineers to brainstorm and scope new Machine Learning ideas, experiment with Machine Learning POCs, and deploy robust models into production. Through assessment of the impact of your models using A/B testing and causal inference techniques, you ensure we are moving towards improving customer satisfaction by optimizing our operation to be more personalized and cost effective. 

What You'll Do

• Identify and innovate new opportunities to drive business results through applying cutting-edge data science solutions across Service, Sales and Operations.
• Partner closely with various business and engineering teams to drive the integration of our model outputs and algorithmic decision-making systems to integrate Machine Learning products into technical platforms and deploy real-time models and services to serve millions of customers. 
• Extend existing Machine Learning libraries and frameworks for scalable model training and deployment. 
• Own the full data science life cycle: scoping to prototyping, testing, deploying, and measuring.
• Partner with Production and Analytics teams to help with designing A/B testing experiments and guide business decisions using model outputs and findings.

What You'll Need

• 4+ years of experience in a quantitative or technical work environment, and advanced degree (MS, PhD) in a quantitative field. 
• Thorough command of general data science and machine learning techniques.
• Proficient at Python (knowledge of R or Java is a plus)
• Comfortable with SQL and ability to wrangle data from various sources (the experience of using cloud based tools would be a plus)
• Machine Learning experience (such as supervised/unsupervised learning, deep learning, Reinforcement Learning, etc.)
• Demonstrable commercial experience in production-environment-driven ML design (e.g. having deployed at least three ML solutions to scale, etc.)
• Ability to work on cross-functional projects and manage multiple stakeholders with competing priorities
• Good understanding of experimental techniques for the design of A/B tests to measure the impact of initiatives
• Communication skills that can influence across organizations and at all levels

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.

If you are you having any difficulty submitting your application, please reach out to our careers team at careers@wayfair.com.

We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at dataprotectionofficer@wayfair.com. If you would rather not have us retain your data please contact us anytime at dataprotectionofficer@wayfair.com.