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 Scientist to join our Supply Side Data Science team. The team leverages Wayfair’s big data, combined with supervised and unsupervised learning techniques to generate insights about product dynamics and performance and health of our catalog of products 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

• Help define and execute on the strategic agenda to unlock insights and guide the business.
• Run open-ended exploratory data analysis to identify new ideas and opportunities.
• Work on the boundaries of supervised and unsupervised machine learning, applied statistics and econometrics.
• Collaborate with our product, engineering and economics partners to build robust data pipelines and scalable production algorithms.
• Partner with Senior Scientists to scope concrete data science solutions to ambiguous business problems.
• Communicate key insights and recommendations to cross-functional leaders across the organization.

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.)
• 3+ years of experience in a quantitative or technical work environment.
• Machine Learning or Data Science experience with e-commerce companies is a strong plus.
• 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.