Senior Data Scientist, Faire
$177.5-244k
+ Equity
More information about location
2+ days a week in office
Online wholesale marketplace
Open for applications
Online wholesale marketplace
1001+ employees
Open for applications
$177.5-244k
+ Equity
More information about location
2+ days a week in office
1001+ employees
Company mission
To empower entrepreneurs around the world to chase their dreams.
Role
Who you are
- An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc
- Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning)
- Strong programming skills (Python, Java, Kotlin, C++)
- Knowledge of statistical techniques such as experimentation and causal inference
- SQL or other database querying experience preferred
- An excitement and willingness to learn new tools and techniques
What the job involves
- 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
- As a Data Scientist on the Retailer team, you'll tackle a diverse set of challenges, such as optimizing logistics and freight costs and calculating optimal credit limits
- You'll also contribute to growing Faire’s retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value
- You'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data
- Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest
- Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
- Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable
- Underwriting: Improve Faire’s Net terms portfolio by evaluating creditworthiness of retailers on Faire’s platform. Use predictive modeling to dynamically assign credit terms limits that minimize default risk and maximize growth
- Retailer Growth & Lifecycle: Build models to automatically generate landing pages and content to target search engine demand. Use natural language processing to understand search engine keyword intent and match to relevant internal content
- Build ML models to generate intelligence about retailers to power personalization. Predict retailer lifetime values to optimize retailer acquisition spend
- Faire leverages the power of machine learning (ML) 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 notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions
- Our ultimate goal is to empower local retail businesses with the tools they need to succeed
Application process
- Applications for this position will be accepted for a minimum of 30 days from the posting date
Our take
Faire is a company that helps retailers find and buy wholesale merchandise for their stores, pairing independent brands with retailers. The company connects two million retailers globally to tens 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
Some candidates hear
back within 2 weeks
109% employee growth in 12 months
Company
Employee endorsements
Opportunities to learn
"I joined Faire over a month ago and the onboarding has been very comprehensive including some additional material that has been extremely helpful..."
Funding (last 2 of 10 rounds)
May 2022
$416m
SERIES G
Nov 2021
$400m
SERIES G
Total funding: $1.5bn
Company benefits
- Comprehensive healthcare
- All of our offices have been designed with local in mind—from our architects to our coffee blends
- Paid vacation time, holidays, and company-wide “Faire Fundays.”
- Including a monthly credit toward your wellness-related programs
- Generous parental and family leave, as well as fertility support benefits
- Including free access to Modern Health therapists and resources
- Optional morning meditation, plus a free Headspace membership
- Faire will match up to US$250 of your charitable donations, every year
- For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning
- 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 values
- We serve our community
- We seek the truth
- We’re all owners
- We embrace the adventure
- We’re kind
Articles
Leadership
Max Rhodes
(CEO)Was previously an Advisor at Blunt Umbrellas and Director of Consumer Product at Square.
Daniele Perito
(Advisor)Former Director of Security and Risk Engineering at Square, prior to co-founding Faire.
Marcelo Cortes
(CTO)Previously a Senior Software Engineer at Google. Before that, co-founded FreePoint Inc.
Jeff Kolovson
(COO)Was Operations Lead at Square. Before that was a Business Analust for McKinsey and Co.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
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Diversity, Equity & Inclusion at Faire
Clarence Sanon (Engagement and Inclusion Manager)
- We have internal structures and mechanisms that acknowledge and counteract organizational bias while ensuring equitable opportunity across the organization.
- Our teams are balanced across demographic backgrounds and identities, ensuring equity at all levels of the organization and ensuring a region-specific nuance
- Faire Femmes: Our mission is to build a space that is inclusive, safe, and empowering for those who identify as women to succeed
- HUE: Our mission is to create a safe space where folks of colour can feel comfortable being themselves and talk to folks who get it. We want HUE members to feel confident expressing themselves, their culture, and their heritage
- Flaire: Our mission is to empower all Faire employees to express their whole selves at work, and to make Faire an inclusive environment for all members of the LGBTQ+ community
- Fairents: Our mission is to cultivate Faire into a company where working parents can thrive in their professional ambitions, maximize their impact supporting Faire business goals, and be successful in their pursuit of rewarding & fulfilling journeys as parents
- We have employee resource groups (ERGs) and a cross-functional Diversity, Equity, Inclusion, and Belonging Council (DEIB) at Faire. The DEIB Council works in collaboration with other functions to ensure integration and consideration of DEIB in policies, programs, products, and processes
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