By applying to this position, your application is automatically considered for the range of Data Science roles we have at Wayfair. If we think you might be a fit, a recruiter will reach out to learn more about your background and discuss relevant positions in more detail.
Who We Are
Our Marketing Machine Learning team drives development of world-class ML systems that improve our customer understanding and marketing decisions. We build innovative ML products and services that enhance our customer experience, improve customer loyalty, and ultimately grow our business. We have a modern tech stack including sophisticated capabilities around AI, data science, causal inference and personalization. We’re a highly collaborative, supportive team that values learning, psychological safety and intentional career development.
We are looking for an experienced Machine Learning team leader to lead a team of highly skilled data scientists and engineers. Your team builds and maintains a portfolio of ML products that power bidding, targeting, and treatment decisions for millions of customers interactions on channels that drive millions of site visits and $1B+ in Revenue.
This is a high-visibility role for an experienced ML leader and requires you to partner closely with senior leaders across Marketing, Ad Tech, and Engineering. Our team is ultimately responsible for building and maintaining scalable algorithmic systems responsible for optimizing millions of customer-level decisions each day: Who do we target? On what channels? How frequently? How much do we bid? What type of ad do we show? Which creative asset? etc.
What You'll Do
- Lead machine learning team that powers millions of daily targeting, bidding, and advertising decisions across many channels (Display, Social, Direct Mail, etc.)
- Coach, mentor, and develop a high-performing team of data scientists and ML engineers
- Responsible for 2+ year roadmap, planning, and delivery for your portfolio of ML products - from conception to prototyping, testing, deploying, and measuring its business value
- Be a hands-on leader and provide technical and business coaching and mentorship
- Work cross-functionally with Marketing, AdTech/MarTech Eng, and ML Platforms Eng to build scalable marketing solutions, and influence the broader orgs technology plans for improving paid media marketing at Wayfair
- Participate in meetings with Google, Facebook, Apple, etc., to understand ad vendors’ technical capabilities and limitations to make the right calls on our roadmaps, and influence their strategic roadmaps
- Stay abreast and research industry trends and evolution of ML solutions in advertising space (ex: uplift modeling, reinforcement learning) and potential benefits to Wayfair
- Drive the integration of our algorithmic solutions into existing production systems
- Serve as an organizational thought leader and sounding board bringing a data-driven and algorithmic perspective to the table
- Deliver presentations to high level business stakeholders and evangelize the vision for your portfolio of ML products throughout Wayfair from C-level stakeholders on down
What You'll Need
- 5+ years of experience managing data scientists and/or ML engineers and interfacing with senior commercial stakeholders
- 7+ years of overall hands-on experience in data science, ML, causal inference, or other closely related quantitative field
- Advanced degree in quantitative field preferred (e.g. engineering, mathematics, economics, computer science, physics, neuroscience, operations research etc.)
- Experience leading teams that build and deploy production ML models at scale
- Hands-on manager with ability to get into the weeds and provide deep technical coaching and mentorship to direct reports and skip-levels
- Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc.
- Some prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
- A high degree of comfort with ambiguity and breaking down complex problems
- 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 effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
- Nice to have: experience or interest in reinforcement learning techniques
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.