Data Scientist

What You'll Do:

• Own and develop the strategic analytic agenda to unlock insights and guide the business.
• Collaborate with cross functional partners and ensure that there is strong alignment between Wayfair’s business objectives and our Data Science driven strategies.
• Bring your expertise in A/B testing to identify, design, execute, and analyze tests leveraging Bayesian or frequentist methodologies to make high-impact changes to the customer site and app experiences.
• Develop key metrics and reporting to measure how initiatives are improving Wayfair’s performance and enabling our team to easily identify trends, root causes and develop targeted action plans.
• Leverage your modeling skills and apply data science techniques to solve ambiguous problems.
• Build prototypes and dashboards to translate large data sets into driving insights and action

You Are A Match Because You Have:

• Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred. 
• 3+ years work experience in quantitative analytics, testing and/or predictive modeling
• Professional experience in writing code in structured programming languages (Python, R), writing scripts using GBQ or SQL, creating Pivot Tables and Vlookups in Google Sheets or Excel, and using data visualization tools such as Data Studio, Looker, Tableau or PowerBI.
• Experience in leveraging A/B testing and other experimentation methodologies for effective product launch measurement.
• Experience applying data science techniques such as classification, regression, and clustering; and partnering with business teams on agile model development.
• Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.
• Collaborative mindset that thrives as part of a team
• A demonstrated ability to continuously learn new tools
• High attention to detail and proven ability to manage multiple, competing priorities simultaneously
• Ability to navigate an environment of continuous improvement working through ambiguity in an evolving organization