Senior Data Scientist – Search & Recommendation

About Faire

Faire is a web based wholesale market constructed on the idea that the long run is native — impartial retailers across the globe are doing extra income than Walmart and Amazon mixed. At Faire, we’re utilizing the ability of tech, knowledge, and machine studying to attach this thriving neighborhood of entrepreneurs throughout the globe. Image your favourite boutique on the town — we assist them uncover one of the best merchandise from world wide to promote of their shops. With the fitting instruments and insights, we consider that we will stage the taking part in discipline in order that small companies in all places can compete with these huge field and e-commerce giants.

By supporting the expansion of impartial companies, Faire is driving constructive financial impression in native communities, globally. We’re on the lookout for good, resourceful and passionate individuals to affix us as we energy the store native motion. In case you consider in neighborhood, come be part of ours.

Faire is utilizing machine studying to alter wholesale and assist native retailers compete with Amazon and large field shops. Our skilled knowledge scientists and machine studying engineers are growing options associated to discovery, rating, search, suggestions, logistics, underwriting, and extra – all with the aim of serving to native retail thrive. 

The Knowledge Science staff owns all kinds of algorithms and fashions that energy {the marketplace}. We care about constructing machine studying fashions that assist our clients thrive. 

As a member of Seek for the Knowledge Science staff you’ll be chargeable for growing machine learning-powered search rating fashions and including personalization to our search and discovery. You’ll decide solutions to questions like, how related is that this product to this retailer and the way can we infer that in real-time? Can we create real-time embeddings of customers’ pursuits and use them to energy rankings? How can we enhance buy move? What methods can we use to allow our A/B exams to extra rapidly converge when coping with low pattern sizes? 

Our staff already contains skilled Knowledge Scientists and Machine Studying Engineers from Uber, Airbnb, Sq., Fb, and Pinterest. Faire will quickly be often called a high vacation spot for knowledge scientists and machine studying, and you’ll assist take us there! 

You’re enthusiastic about this function as a result of… 

• You’ll be capable to work on cutting-edge search question and understanding issues combining all kinds of information about our retailers, manufacturers and merchandise
• You wish to use machine studying to assist native retailers and impartial manufacturers succeed 
• You wish to be a foundational staff member of a quick rising firm
• You want to resolve difficult issues associated to a two-sided market 

{Qualifications} 

• 4 years of business expertise utilizing machine studying to resolve real-world issues, and a historical past of accomplishment and development in your Knowledge Science profession
• Expertise with search/question processing for product improvement 
• Sturdy programming abilities 
• An pleasure and willingness to be taught new instruments and methods 
• Expertise with relational databases and SQL 
• The flexibility to contribute to staff technique and to guide mannequin improvement with out supervision 
• Sturdy communication abilities and the flexibility to work with others in a intently collaborative staff setting 

Nice to Haves:

• Extremely really useful: Grasp’s or PhD in Laptop Science, Statistics, or associated STEM fields 
• Means to rapidly implement cutting-edge algorithms from an educational paper

Wage Vary

Canada: the pay vary for this function is $138,500-$190,500 per 12 months. 

This function will even be eligible for fairness and advantages. Precise base pay might be decided based mostly on permissible components comparable to transferable abilities, work expertise, market calls for, and first work location. The bottom pay vary supplied is topic to alter and could also be modified sooner or later.

Faire’s versatile work mannequin goals to satisfy the wants of our numerous worker neighborhood by making work extra versatile, related, and inclusive. Relying on the function and desires of the staff, Faire workers have the flexibleness to decide on how they work–whether or not that’s primarily within the workplace, remotely, or a mixture of each. 

Roles that record solely a rustic within the location are eligible for totally distant work in that nation or in- workplace work at a Faire workplace in that nation, supplied workers are situated within the registered nation/province/state. Roles with solely a metropolis location are eligible for in-office or hybrid workplace work in that metropolis. Our expertise staff will work with candidates to find out what areas and roles are eligible for every possibility.

Purposes for this place might be accepted for no less than 30 days from the posting date.

Why you’ll love working at Faire

• We’re entrepreneurs: Faire is being constructed for entrepreneurs, by entrepreneurs. We consider entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their desires. Each member of our staff is participating within the founding course of.
• We’re utilizing expertise and knowledge to stage the taking part in discipline: We’re leveraging the ability of product innovation and machine studying to attach manufacturers and boutiques from everywhere in the world, constructing a rising neighborhood of greater than 350,000 small enterprise homeowners.
• We construct merchandise our clients love: Every thing we do is finally within the service of serving to our clients develop their enterprise as a result of our aim is to develop the pie – not steal a bit from it. Working a small enterprise is difficult work, however utilizing Faire makes it straightforward.
• We’re curious and resourceful: Inquisitive by default, we discover each risk, check each assumption, and develop artistic options to the challenges at hand. We lead with curiosity and knowledge in our choice making, and motive from a primary rules mentality.

Faire was based in 2017 by a staff of early product and engineering leads from Sq.. We’re backed by among the high traders in retail and tech together with: Y Combinator, Lightspeed Enterprise Companions, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST International. We have now headquarters in San Francisco and Kitchener-Waterloo, and a worldwide worker presence throughout places of work in Salt Lake Metropolis, Atlanta, Toronto, London, New York, LA, and Sao Paulo. To be taught extra about Faire and our clients, you possibly can learn extra on our blog.

Faire supplies equal employment alternatives (EEO) to all workers and candidates for employment with out regard to race, colour, faith, intercourse, nationwide origin, age, incapacity, genetics, sexual orientation, gender id or gender expression.

Faire is dedicated to offering entry, equal alternative and affordable lodging for people with disabilities in employment, its companies, packages, and actions. To request affordable lodging, please fill out our Accommodation Request Form (https://bit.ly/faire-form)