Wayfair’s Data Science Analytics team collaborates closely with 3 expansive Data Science workstreams that transform the way we do business in fraud detection, supply chain operations, and natural language processing (NLP). As a Data Science analyst, you will uncover and understand insights hidden in our vast repository of raw data to provide tactical guidance on how to act on findings; and build innovative solutions for reporting and monitoring of our model performance and business KPI that impacts and guides the decision making process with the Data Science team on continuous model development. We look for people with an interest in e-commerce who are able to work independently and thrive in a collaborative team environment. For a concrete example of our Analytics team’s work and contribution, please check out our recent blog post and learn how this team built Wayfair’s in-house web application that calls our NLP model services and puts them in visualizations and format so business owners can drive action with it.
What You'll Do
- Integrate tightly into our Data Science workstreams and act as the subject matter expert for data and analytics in the respective domain
- Conduct exploratory data analysis on our vast repository of raw data, unveil insights, explore first modelling opportunity and provide tactical guidance on how to act on findings
- Prototype, test and automate data pipelines and build scalable monitoring dashboards for model performance and business KPI impact
- Collaborate closely with Data Scientists, Engineers and business stakeholders, contributing to the cross-functional partnership, strategy and roadmap.
- Deliver presentations to business stakeholders that tell cohesive stories using data and on point visualizations to support data supported decision making and ultimately enhance the experience of our customers and our suppliers
What You'll Need
- Experience as a data analyst/data engineer with background in a technical/quantitative field (e.g. mathematics, economics, computer science, analytics, engineering, physics, neuroscience, operations research etc.)
- Strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business direction
- Strong quantitative skills, knowledge and experience with various analytical methods including statistics and experimentation.
- Good understanding of how quantitative and technical work aligns closely with business priorities and business value
- Understanding of the data analytical stack to build complex reporting and data visualisation dashboards using Data Studio, Tableau, or Redash
- Experience with programming, e.g. languages such as Python/R and SQL and big data frameworks as Apache suite, GBQ or Hive
- Ability to work in a dynamic environment where there can be degrees of ambiguity
- Bonus points for creative curiosity and a strong desire to always be learning
Our Proposition To You!
- Competitive salary, bonus, and relocation package
- Collaborative company culture that encourages teamwork across departments
- Great mentors and career development opportunities through our learn@work program
- We contribute to your gym membership and offer free Yoga classes, as well as Wellness Weeks with massages, workshops and other exciting events
- Paid volunteering day: Wayfair will pay one 8-hour day in which you can take time off for community service
- Fresh fruits, snacks & drinks every day!
- Let’s not forget the chance to join a global giant in e-commerce
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.