Head of Applied & ML Science, Wayfair
Search, Personalization, and Advertising
Office located in Mountain View, CA
A global online homeware marketplace
Job no longer available
A global online homeware marketplace
1001+ employees
Job no longer available
Office located in Mountain View, CA
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- Proven track record in leading teams of 50+ 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.)
- 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
What the job involves
- The Head of 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
- 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
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionise online shopping, offering customers a convenient platform to purchase goods. Today, it stands as one of the foremost global players in the online furniture delivery industry, boasting an impressive inventory of over 33 million products.
Renowned for its extensive product range and comprehensive service offerings, Wayfair distinguishes itself by providing an end-to-end customer experience, from browsing to doorstep delivery. Despite its prominence, the company faces profitability challenges attributed largely to expansion expenses. Nonetheless, its solid presence in the competitive online homeware sector solidifies its position as a key contender.
With ambitious global expansion plans, Wayfair remains committed to maintaining its leadership in the industry. As it aspires to become the ultimate destination for all home needs, its more recent ventures into physical retail represent significant strides toward this overarching goal.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Company HQ
Prudential / St. Botolph, Boston, MA
Leadership
Niraj Shah
(Co-Founder & CEO)Studied Engineering at Cornell University before co-founding Spinners, a Boston-based IT services company. Previously acted as Entrepreneur in Residence for Greylock and has served as CEO of Wayfair since co-founding the company in 2002.
Steven Conine
(Co-Founder)Co-founded Spinners before working for Operations at iXL. Conine also co-founded Pillar VC in 2016.
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