Lead Data Science Analyst (Profitability Algorithms)
Seattle, WA
Wayfair Inc.
Shop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items.Category: Marketplace
Job Description
The Profitability Algorithms team is responsible for creating the Cost and Profit estimates that power all of our customer touchpoints, from Marketing, Sort and Recommendations, to Pricing in one of the fastest growing e-commerce marketplaces inthe world. The team leads forward thinking strategies to improve our customer experience by avoiding damages and returns, shipping items fast and economically to our customer and providing compelling pricing to our customers. Our products sit at the intersection of incenting supplier excellence in our complex Supply Chain by influencing and improving the Customer Experience across our Website. 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 Lead Data Science Analyst to join our team. The team leverages Wayfair’s huge datasets to inform the roadmap of our profitability 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.
What you will do:
• Run open-ended exploratory data analysis and lightweight modeling to identify new ideas and opportunities
• Proactively monitor our cost and profitability models to identify potential issues, determine root causes, and resolve issues.
• Build new tools that allow us to assess product performance.
• Perform simulations and experimentations to prove out efficacy of data product/feature enhancements
• Work closely and build productive relationships with our product, engineering, machine learning, and economist partners.
What you will need: • Master’s degree earned by date of hire, preferably in a quantitative discipline (computer science, engineering, math, statistics, economics) • Proficiency with SQL and in a structured programming language such as Python/R (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.) • 4+ years work experience in Data Science • Analytics or Data Science experience with e-commerce companies is 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.
Tags: A/B testing Computer Science Data analysis Deep Learning E-commerce Economics EDA Engineering Machine Learning Python R Spark SQL Statistics
Perks/benefits: Career development
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