Data Scientist II, Recommendation Analytics

At Wayfair we are well on the way to becoming the world’s number one, online destination for all things home. Our core belief is that everyone should live in a home they love. We make this possible by ensuring our 24 million customers have all the technology and innovation they need at their fingertips, to give them access to our more than 33 million products which are provided by our 23,000 awesome global suppliers.

We are looking for a highly motivated and solution-oriented Data Scientist to join our Search & Recommendation Analytics team. The team leverages Wayfair’s huge datasets to inform the roadmap of our recommendations. We work in close collaboration with a high performing team of engineers, machine learning engineers/data scientists, and product managers who are on the leading edge of the search and product recommendation space.

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 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.
• Communicate key insights and recommendations to cross-functional executive leaders across the organization

What You'll Need

• Master's and/or Bachelor’s degree in a quantitative field
• 2+ 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.
• 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.
• Collaborative mindset that thrives as part of a team
• Data and process-oriented, 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.

Massachusetts Applicants: I understand that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.