Who We Are
Wayfair.com is a leader in the e-commerce space for all things home. Wayfair’s community of Data Scientists are obsessed with using data and technology to ensure our customers can build a home that they love. Our platforms support millions of people searching every day for the perfect item, and provide a unique purchase and delivery experience. Come help us innovate and grow to our next $10B in revenue!
Our Marketing Data Science team drives development of world-class ML systems that improve our customer understanding and marketing decisions. We build innovative DS 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.
As a senior data science manager, you’ll be leading a focused team of data, machine learning & economic scientists in building Wayfair’s cutting edge products to guide optimal marketing decision making. You’ll combine approaches econometrics, causal inference, machine learning & data engineering to build tools that drive maximum profit across Wayfairs 1B+ annual marketing investment, working closely with engaged marketing leadership partners.
What You'll Do
- Define and drive the science vision for tools to best guide Wayfair’s marketing investments to maximize profit. Your team will solve novel optimization, resource allocation, media mix optimization and economic problems to best guide Wayfair’s 1B+ ad spend, including both digital and offline ad delivery such as Search, Display, Social, Video, Direct Mail and TV
- Coach, mentor, and develop a high-performing team of data & ML scientists & economists
- Responsible for 2+ year scoping, planning, and delivery for your portfolio of products - from conception to prototyping, testing, deploying, maintaining and quantifying business value
- Be a engaged hands-on leader for your team, providing technical and business coaching and mentorship
- Partner closely with scientists developing leading marketing attribution techniques that you can leverage as inputs to your optimization & modeling algorithms that guide strategic business decision-making.
- Work cross-functionally with business leadership, stakeholders, and partner data science, and engineering teams to drive the integration of model outputs into company-wide business decision-making systems
- Scope and prioritize new business or stakeholders needs, balancing between delivering MVP solutions and working towards long term platform development.
What You'll Need
- Advanced degree (Masters or PhD) in Economics, Statistics, Mathematics or other quantitative field
- Expertise developing quantitative approaches to optimal marketing investment, elasticity modeling, media mix and/or marketing portfolio optimization, and an interest in bringing best-in-class solutions to the e-commerce space. You thrive when driving your ideas and work all the way through to business impact
- 5+ years of experience working as a professional data or research scientist
- 3+ years of technical management experience, either as a direct-line manager or substantial direct technical leadership or mentorship
- Consistent track record of autonomous delivery of DS/ML projects that drive measurable business impact
- Proficient in python, with experience developing & deploying maintainable technical tools that drive long-term business value
- Excellent communication skills with demonstrated experience driving teams forward and ability to influence technical decisions to line up with the company’s strategy
- Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization
- Excellent organizational, analytical, and hypothesis-driven critical thinking skills to identify business opportunities and transform data into concrete facts & insights that drive business decision-making
- Excellent communication skills to explain complex statistical and data science concepts/ideas/methods to both technical and business collaborators
Nice to Have
- Direct experience with MMM (Media Mix Modeling) and/or Marketing Attribution (e.g. MTA, Shapley value, data-driven attribution) in a business setting
- Experience with lift testing or direct measurement of marketing value (e.g. A/B testing, geo-testing) and/or Causal Inference
- Experience with GCP (BigQuery, GCS, Dataproc, Notebooks), Airflow, and containerization (Docker).
- Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
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.