The Pricing and Profitability Algorithms team is responsible for determining how we set retail prices for our catalog of 10M+ products leveraging cutting edge algorithms and economic theory. The team powers a dynamic pricing engine at the core of one of the fastest growing e-commerce companies. Our goal is to use price to optimize for long-term profitability, drive efficient trade-offs between revenue and profit and manage price perception of our customers. We leverage continuous experimentation, a modern tech stack, best-in-class modeling approaches, and economic theory to build a scalable, dynamic and flexible platform. 

We are looking for a highly motivated and solution-oriented Data Science Leader to join our Supply Side Data Science team. The team leverages Wayfair’s big data, combined with ML, Advanced Statistics and Network Detection algorithms to generate insights about our Suppliers and product dynamics to shape and inform the roadmap of our pricing strategy. We work in close collaboration with a high performing team of engineers, analysts and product managers who are on the leading edge of the product pricing space.

What You Will Do

• Define and own the strategic agenda to unlock insights and guide the business.
• Run open-ended exploratory data analysis to identify new ideas and opportunities.
• Design and implement algorithms to systematize the interactions of our customers with Wayfair’s vast product catalog.
• Work on the boundaries of supervised and unsupervised machine learning, community detection, graph theory, applied statistics and econometrics.
• Collaborate with our product, engineering and economics partners to build robust data pipelines and scalable production algorithms.
• Scope concrete data science solutions to ambiguous business problems.
• Communicate key insights and recommendations to cross-functional executive leaders across the organization.
• Manage and develop a team of scientists, including coaching, onboarding and training.

What You'll Need

• Advanced degree (Masters / PhD) in a relevant quantitative field (e.g. data science, mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)
• 5+ years of experience in a quantitative or technical work environment.
• Experience in leading, mentoring and developing a team of scientists.
• Machine Learning or Data Science experience with e-commerce companies is a strong plus.
• Ability to effectively work with business leads and data scientists: strong verbal and written communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions.
• Proficiency in one or more core Data Science programming languages, e.g. Python, R, Scala, etc. Experience using these to build machine learning models, clustering algorithms or run econometric analyses.
• Prior experience prototyping and building data processing pipelines (e.g. Hive, Spark, BigQuery, or Airflow) is a strong plus.