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Wayfair’s Search, Marketing, and Recommendations
Location:
Mountain View, CA
Description:
Wayfair’s Search, Marketing, and Recommendations Technology team provides the core platforms and services that allow our customers to find the products they love by serving the right content to every customer on every touchpoint, both on Wayfair and offsite through our marketing programs. Our systems leverage Wayfair’s extensive customer and product data to create 1-1 personalized experiences and redefine how customers shop for their homes.The Head of Applied & Machine Learning Science will be responsible for growing and leading a high performing team of scientists using cutting edge ML/AI techniques to build new discovery experiences. Your work will touch all of Wayfair’s customers and will be the glue that holds Wayfair’s platform together, helping customers find their perfect items while incentivizing supplier behaviors and driving Wayfair’s profitability. In this highly strategic and visible role, you will partner closely with stakeholders across our technology and business orgs, with significant exposure to executive leadership. This role presents significant technical and leadership opportunities with enormous potential for innovation and business impact. What You’ll Do: Craft the overarching strategy for the evolution of machine learning models that redefine search, personalization, and marketing channels on Wayfair’s platform.Champion personalization at every digital touchpoint, ensuring a unique discovery experience from search to checkout.Forge alliances with senior leaders across technology, product, and business units, playing a crucial role in charting Wayfair’s growth path.Lead, mentor, and grow a team of dedicated machine learning professionals, setting clear objectives and fostering a culture of innovation and excellence. What You’ll Need:** **Professional Experience and Skills: Proven track record in leading teams of 75+ members.Extensive experience in machine learning leadership, especially in NLP, deep learning, personalization, recommender systems, information retrieval, and advertising systems.Experience leading and overseeing the full Machine Learning Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value.Proven track record of leading teams in the build out of quantitative models, leveraging machine learning and advanced data analysis techniques.A strong network to attract and recruit top talent.Ability to cohesively manage and integrate multiple workstreams.10+ years of experience in a quantitative or technical work environment.Advanced degree (PhD) in a quantitative field preferred (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc). Personal Attributes: A sharp sense of trade-offs and ability to engage effectively with different business-focused teams.Demonstrated ability to innovate while balancing business strategy.Proven expertise in guiding teams through technical challenges.Ability to build strong partnership with business, product and engineering teams.Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions.Ability to thrive in a dynamic environment where there can be degrees of ambiguity.Ability to motivate and lead high performing, technical teams effectively, ensuring they want to bring their best to Wayfair. The base salary for this position is $228,000-$240,000; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. Restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the California Salary Transparency Law.Assistance for Individuals with DisabilitiesWayfair 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 .Need Assistance?For more information about applying for a career at Wayfair, visit our . 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.We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: ). If you have any questions regarding our processing of your personal data, please contact us at . If you would rather not have us retain your data please contact us anytime at XXXX@wayfair.com. #J-18808-Ljbffr
Company:
Wayfair
Posted:
January 1 on WhatJobs
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More About this Listing: Wayfair’s Search, Marketing, and Recommendations
Wayfair’s Search, Marketing, and Recommendations is a Advertising & Marketing Marketer Job at Wayfair located in Mountain View CA. Find other listings like Wayfair’s Search, Marketing, and Recommendations by searching Oodle for Advertising & Marketing Marketer Jobs.
Wayfair’s Search, Marketing, and Recommendations is a Advertising & Marketing Marketer Job at Wayfair located in Mountain View CA. Find other listings like Wayfair’s Search, Marketing, and Recommendations by searching Oodle for Advertising & Marketing Marketer Jobs.