Data Science Internship, Faire
Canada: the pay rate for this role is $60 CAD per hour
More information about location
3+ days a week in office
Online wholesale marketplace
Be an early applicant
Online wholesale marketplace
1001+ employees
Be an early applicant
Canada: the pay rate for this role is $60 CAD per hour
More information about location
3+ days a week in office
1001+ employees
Company mission
To empower brands and retailers to strengthen the unique character of local communities.
Role
Who you are
- We're looking for folks with experience working on projects related to the fields above and who are eager to wake up ready to take a problem end-to-end, dive into our information-rich databases, and produce actionable insights
- Our internships are paid and 12-to-14 weeks in duration. We have flexible start dates and are open to extending internship durations based on need and mutual fit
- We are open to currently enrolled Master’s & PhD students and recent Master’s & PhD graduates, who have an academic focus in Computer Science, Operations Research, Statistics, Econometrics or a related technical field
- Hands on experience with real datasets and familiarity using python, sklearn, numpy, pandas, and SQL
- Familiarity with various machine learning techniques and statistical methodologies (Bayesian methods, experimental design, causal inference)
- A track record of developing end-to-end Data Science projects and/or producing academic papers that have been showcased in top journals or conferences
What the job involves
- Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores
- Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for search, personalization, recommender systems, and ranking. Our ultimate goal is to empower local retail businesses with the tools they need to succeed
- At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive
- We have a few openings in the Data organization available
- Search: Experience working with GenAI and LLMs for search optimization, query understanding, retrieval and ranking
- Personalization: Experience with personalizing recommendation surfaces through embeddings, near-real-time streaming signals, explore-exploit and diversification
- Retailer Growth: Experience developing machine learning solutions to drive growth through paid marketing bidding, targeting efficiency and sitemap optimization preferred
- Retailer Products: Experience with predictive modeling, Redshift and Mode Analytics preferred
- Define, plan and execute cutting-edge machine learning or other new algorithms that will be a/b tested with guidance from a manager or technical lead
- Communicate project objectives and results clearly, both within the group as well as to the broader team
- Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success
Our take
Faire is helping retailers find and buy wholesale merchandise for their stores, pairing independent brands with retailers. The company connects two million retailers globally to hundreds of thousands of brands across the globe.
In addition to a large catalog, the company attracts smaller retailers by offering net 60-day terms and free returns to boost confident buying at unpredictable times. Faire has seen impressive growth, reporting 300% year-on-year volume growth and a valuation of over $12.6B following its most recent tranche of funding from Shopify.
This investment is funding its continuing expansion into European and Australian markets, while accelerating product development, focusing on its OS for wholesale. It is also hiring talent globally as it takes aim at becoming a kind of Amazon for local and indie brands that want to sell globally.
Steph
Company Specialist at Welcome to the Jungle
Insights
109% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
May 2022
$416m
SERIES G
Nov 2021
$400m
SERIES G
Total funding: $1.5bn
Company benefits
- Comprehensive healthcare: Including Health, Dental, Vision and Disability for all our locations.
- Time off: Paid time off, holidays and company-wide "Faire Fundays".
- Parental leave: Generous parental and family leave, as well as fertility support benefits.
- Productivity support: Monthly stipends to help cover work from home connectivity needs.
- Annual learning grant: For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning.
- Thoughtfully designed spaces: All of our offices have been designed with local in mind – from our architects to our coffee blends.
- Fitness and well-being benefits: Including monthly credit towards your wellness-related programmes.
- Mental health benefits: Including free access to Modern Health therapists and resources.
- Charitable matching: Faire will match up to £250 of your charity donations, every year.
- Career planning: Whether you want to grow as a leader, hone your craft or explore a new discipline, our career framework allows space for you to explore.
Company HQ
Mission District, San Francisco, CA
Leadership
Max Rhodes
(Co-Founder & CEO)Previously an Advisor at Blunt Umbrellas and a Director of Consumer Product at Square.
Marcelo Cortes
(Co-Founder 7 Chief Architect)Previously a Senior Software Engineer at Google. Prior to that, they co-founded FreePoint Inc.
Jeff Kolovson
(Co-Founder & COO)Previously an Operations Lead at Square. Prior to that, they were a Business Analyst for McKinsey and Co.
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