Lead Machine Learning Scientist ID-8530


Wayfair's advertising team provides the core platforms and services that allow our suppliers to surface their products to the right customer to showcase their inventory and build their brand. We strive hard to make it a win-win-win for suppliers, Wayfair and customers by ranking relevant sponsored products that don’t hurt customer experience and by maintaining high ROAS for our advertisers.
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Data Entry, $45/hr, Remote, Night Shift, College Student Job
Phone Support, Remote, $50/hr, No Experience, Part-Time
Virtual Assistant, No Experience, $42/hr, Remote, Weekend
Remote Customer Support, $45/hr, Part-Time, College Student
Data Entry, Remote, $40/hr, Night Shift, No Degree
Evening Virtual Assistant, Remote, $45/hr, No Experience
Weekend Customer Support, $42/hr, Remote, College Student
Remote Data Entry, $50/hr, No Experience, Evening/Night Job
Virtual Assistant, $42/hr, Remote, Weekend, Entry Level
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Data Entry, No Experience, $50/hr, Remote, College Student
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Data Entry, $45/hr, Remote, Evening, No Experience Required
Virtual Assistant, No Experience, $42/hr, Remote, Part-Time
Remote Customer Support, $50/hr, Night Shift, No Degree
Remote Data Entry, $40/hr, College Student Friendly, Part-Time
Live Chat Support, $42/hr, Weekend, Remote, No Degree
Virtual Assistant, Remote, $45/hr, Evening, No Experience
Remote Phone Job, $50/hr, College Student, Night Shift
Remote Moderator, $42/hr, Weekend, No Experience Required
Data Entry, No Degree, $45/hr, Part-Time, Remote Job
Customer Support, $50/hr, Remote, Evening/Night Job, No Degree
Virtual Assistant, $42/hr, Remote, Weekend, No Degree
Remote Live Chat, $45/hr, College Student, No Experience
Remote Data Entry, $40/hr, Part-Time, No Degree Required
Phone Support, $50/hr, Weekend, Remote, No Experience
Virtual Assistant, $42/hr, Evening, Remote, No Degree
Remote Customer Support, $45/hr, No Experience, Part-Time
Data Entry, $50/hr, Night Job, No Degree, Remote
Remote Moderator, $40/hr, College Student Friendly, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Phone Job, $45/hr, Part-Time, No Degree Required
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Data Entry, Remote, $42/hr, Evening Job, No Degree
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Virtual Assistant, No Degree, $45/hr, Remote, Part-Time
Live Chat Support, $50/hr, Remote, No Experience Required
Remote Moderator, $42/hr, College Student, Weekend Job
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Virtual Assistant, $50/hr, Remote, Part-Time, Evening Job
Remote Customer Support, $42/hr, Weekend, No Experience
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Customer Support, $42/hr, Remote, Part-Time, No Degree
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Phone Support, Remote, $50/hr, No Experience, Night Shift
Virtual Assistant, $42/hr, Evening, Remote, College Student
Live Chat Support, $45/hr, Part-Time, Remote, No Degree
Data Entry, $50/hr, Remote, Evening Job, College Student
Virtual Assistant, $40/hr, Weekend, Remote, No Experience
Remote Phone Job, $42/hr, Night Shift, College Student Friendly
Remote Customer Support, $45/hr, No Degree, Evening Job
Virtual Assistant, $50/hr, Part-Time, Remote, Weekend Job
Data Entry, $40/hr, Evening Job, No Experience, Remote
Remote Live Chat, $42/hr, Weekend, No Degree, Part-Time
Virtual Assistant, $45/hr, No Experience, Remote, Night Job
Phone Job, $50/hr, Remote, Part-Time, College Student
Remote Data Entry, $42/hr, Evening/Night Job, No Experience
Remote Moderator, $45/hr, No Degree, Weekend Job, Part-Time
Live Chat Support, $50/hr, Remote, Night Shift, No Degree
Virtual Assistant, $40/hr, Weekend, College Student, Remote
Remote Phone Job, $42/hr, Part-Time, No Experience Required
Remote Data Entry, $45/hr, No Degree, Weekend, Night Job
Virtual Assistant, $50/hr, Evening, Remote, College Student
Customer Support, $42/hr, Weekend Job, Remote, No Degree
Phone Support, $45/hr, Remote, No Experience, Evening Job
Data Entry, $50/hr, Night Shift, No Degree, Remote Job

The Advertising team is searching for a Lead Machine Learning Scientist to work on the advertising ranking solutions. This team works on multi-objective optimizations which strike the balance of showing popular products and showcasing sponsored products or brand-aware display ads in the product search and recommendations. In this role, you’ll partner with fellow data scientists, engineers, analysts, and product managers to apply data science and machine learning skills to bring our next generation advertising platform to life.


The ideal candidate enjoys sitting at the boundary of data science and engineering, and is comfortable working with partners across the organization to distill ambiguous business requirements into technical plans. This is an exciting opportunity to join a growing team with a tangible impact on the performance of Wayfair overall. You will directly impact and drive forward key business initiatives. Above all, you’ll get to work on problems that are both intellectually-challenging and drive real, measurable impact through our online A/B test platform.

What You’ll Do
 

  • Develop quantitative models, leveraging machine learning and advanced data analysis techniques.
  • Own the full Machine learning model life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value.
  • Coordinate, prepare, launch, and assess live experiments in order to measure the incremental impact of your own work and/or the work of partner teams.
  • Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings.
  • Drive adoption & utilization of your products across the organization in ways that drive real business value.
  • Architect and help define the required technical platforms that enable us to produce models at scale.

     

What You'll Need
 

  • PhD in a quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.) and 4+ years of experience OR an advanced quantitative degree and at least 5+ years of experience.
  • Ability to effectively partner with cross-functional leads: strong communication skills, ability to synthesize conclusions for non-technical partners, and a desire to influence business decisions.
  • Ability to thrive in a dynamic environment where Data Science plays a key role in shaping business & technical priorities.
  • Machine Learning experience in a professional or advanced academic setting (e.g., supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
  • High comfort level with Python (preferred) or with other programming languages.
  • Experience with advertising systems or multi objective optimization problems at a large scale is strongly preferred.
  • Intellectual curiosity and a desire to always be learning!
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