Senior Data Science Analyst, Pricing Algorithms

Location: Seattle, WA or Boston, MA 

Category: Marketplace

Job Description

The Pricing 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, manage price perception of our customers, and incentivize supplier behavior that benefits the end customer. 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 Senior Analyst to join our Product Analytics team. The team leverages Wayfair’s huge datasets to inform the roadmap of our pricing strategy. We work in close collaboration with a high performing team of engineers, machine learning engineers/data scientists/economists, and product managers who are on the leading edge of the product pricing space. Examples of our work are: 

• Lead new project in-take by driving exploratory data analysis to generate new insights & inform our product roadmap.
• Collaborate with the Customer and Supplier facing teams to identify and size opportunities to improve the pricing experience across our two-sided marketplace.
• KPI reporting and monitoring of our Data Science Models; this includes anomaly detection and advanced measurement approaches.
• Develop and present product improvement opportunities to executives, Product Partners and Data Science teams. 

What you will do

• Run open-ended exploratory data analysis to identify new ideas and opportunities
• Proactively monitor our pricing models and systems to identify potential issues, determine root causes, and resolve. 
• Build new tools that allow us to be more productive and efficient
• Work closely and build productive relationships with our product, engineering, machine learning, and economist partners.
• Communicate key insights and recommendations to cross-functional executive leaders across the organization

What you will need

• Bachelor's degree, preferably in a quantitative discipline (computer science, engineering, math, statistics, economics)
• 1.5+ years work experience in a relevant field (in addition to any graduate education).
• Analytics or Data Science experience with e-commerce companies is a strong plus.
• In-depth experience with SQL or a structured programming language (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), required.
• In-depth experience with python & python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), highly preferred.
• Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, highly preferred. 
• Knowledge and experience using machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business context, highly preferred. 
• Strong written and verbal communication with a team player, highly collaborative attitude. 
• Ability to collaborate and proactively communicate with stakeholders.
• Proven track record of taking ownership and driving results. Thrive in a fast-paced environment. 
• Strong business acumen, analytical skills, and technical abilities along with problem-solving skills.

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.