Data Scientist III Advertising
Data Scientist III Advertising
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Job Description
This is a hybrid onsite role. Employees are expected to be in our Toronto office TuesdaysThursday and work remotely Mondays and Fridays.
Wayfair is the leading online retailer for furniture & decor and we rely on our suppliers to deliver on our core business proposition: delivering great products to our customers quickly and reliably. Our supplierfacing ecosystem enables our 18000 supplierpartners to deliver on that promise by providing them with all capabilities they need to successfully manage their ecommerce business. Our supplierfacing site is a critical enabler to Wayfairs growth. We work with 18K suppliers who use our tools daily to manage their products and inventory order fulfillment etc. to be successful on our platform.
The Advertising team works with our supplier community creating end to end solutions that help increase their sales and exposure on Wayfair sites and apps through targeted ads and sponsorships. Not only are we generating millions in extra revenue for suppliers and solidifying Wayfair as a preferred partner but weve built a significant business thats one of the highest growth areas in the company.
What Youll Do
- Own and develop the strategic analytic agenda to unlock insights and guide the business.
- Work closely with all facets of the organization including product management engineering and creative design to leverage data and analytics to drive decision making and accelerate profitable growth.
- Leverage your modeling skills and apply data science techniques to solve ambiguous problems.
- Bring your expertise in A/B testing to identify design execute and analyze tests leveraging bayesian or frequentist methodologies to make highimpact changes to the customer site and app experiences.
- Communicate key insights and recommendations to crossfunctional executive leaders across the organization.
- Be the goto technical and analytical expert for junior analysts on the team.
- Provide leadership on corporate initiatives which requires the ability to work with executives and be a thought partner with the cross functional leadership team.
What Youll Need
- Bachelors in computer science engineering math statistics economics or other quantitative discipline; Masters preferred.
- 4 years work experience in quantitative analytics testing and/or predictive modeling
- Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap.
- 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.
About Wayfair Inc.
Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world were reinventing the way people shop for their homes. Through our commitment to industryleading technology and creative problemsolving we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.
No matter who you are Wayfair is a place you can call home. Were a community of innovators risktakers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and wellpositioned 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. Thats why were 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.
Your personal data is processed in accordance with our Candidate Privacy Notice If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Employment Type
Full Time
