Senior Data Science Analyst, Profitability Algorithms

Key Skills

Algorithms, Data Analytics, Data science techniques, Machine learning techniques, Python Programming, SQL, Statistics, Teamwork

Job Description

Profitability Algorithms answers these questions and others like them. We vend cost and profit estimates globally to ensure profit-aware decision-making across the company in systems such as pricing, sort, and marketing. Our broad scope comes with regular executive visibility and the opportunity to influence critical business strategy at Wayfair.

We are looking for a highly motivated and solution-oriented Senior Analyst to join our Analytics team. We focus on maximizing the business impact of our machine learning models through experimentation and post-hoc model evaluation. We elevate our models and their outputs through analytics products to power company-wide decision making. We work in close collaboration with a high performing team of engineers, machine learning engineers/data scientists/economists, and product managers. 

What You'll Do

• Influence cross-functional stakeholders through analytics products that translate the output and impact of our models into actionable business insights
• Design, run and analyze the results of A/B tests of new product search and recommendations algorithms and strategies; we also develop new testing and test analysis methodologies.
• Execute exploratory data analysis to generate new insights & inform our product roadmap.
• Own KPI reporting and monitoring; this includes anomaly detection and advanced measurement approaches.
• Communicate key insights and recommendations to cross-functional executive leaders across the organization

What You'll Need

• Curiosity, grit, candor and a team-first attitude
• 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).
• Proficiency in structured programming languages SQL and Python with a strong desire and ability to further develop skill set.
• Experience with experimental design (A/B tests) and statistical analysis to drive business decision making.

Assistance for Individuals with Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

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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, genetic information, or any other legally protected characteristic.