Data Science Technical Lead, B2B|Sales|Service

Austin, TX

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Wayfair Inc.

Shop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items.

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Wayfair Data Science powers automation & decision support across all Wayfair business units. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods. 

Providing good customer support in a customer’s product selection and order journey through chat and phone assistance is a priority for Wayfair. The B2B|Sales|Service Data Science organization works cross-functionally across all layers of business to innovate new, data-driven ways of improving customer experience. To do this, we use a full spectrum of ML techniques to create predictive and descriptive models from observed and unobserved aspects of the customer journey. The resulting models inject intelligence at critical points in the customer journey, from arrival on-site to a phone call in our call center, to make better business decisions.

What You'll Do  

  • Serve as a technical lead on a fast-moving, innovative team of data scientists
  • Build machine learning models to enable effective and efficient interactions (phone, chat, virtual) for Wayfair customers
  • Identify and innovate new opportunities to drive business results through data science
  • Own the full data science life cycle: scoping to prototyping, testing, deploying, measuring value and iterating
  • Partner with engineering teams (ML Engineering, Service R&D) to integrate ML products into technical platforms and deploy real-time models at large scale
  • Partner with operational teams to help guide business decisions through model outputs and findings

What You'll Need  

  • Master’s degree in quantitative field (statistics, mathematics, economics, operations research, physics, neuroscience etc) and 4-6+ years of experience OR PhD (preferred) and 3-4+ years of experience in quantitative field (statistics, mathematics, economics, operations research, physics, neuroscience etc)
  • 4+ years of experience in computational language (R/Python/Matlab/etc) with proven recent experience in Python
  • Thorough command of general data science and machine learning techniques, good understanding of data engineering practices
  • Ability to work on cross-functional projects and communicate with stakeholders at multiple levels of technical detail
  • Good understanding of experimental and statistical techniques for the design of A/B tests to measure the impact of initiatives
  • Experience with distributed systems such as PySpark, Dask with cloud-native infrastructure experience (AWS, GCP, Azure)
  • 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.

Job perks/benefits: Career development
Job region(s): North America
Job stats:  3  1  0
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