Senior Data Scientist - Retailer

Faire
San Francisco, Toronto
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["Communication","Collaboration","Problem-solving","Teamwork","Analytical thinking"]

Senior Data Scientist on the Retailer team using ML and data insights to optimize shipping costs, underwriting credit terms, and retailer growth. You’ll build models, leverage NLP for content personalization, and collaborate with data scientists, engineers, and product managers to unlock value from a growing two-sided marketplace dataset.

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Faire
Faire
1 year ago

Senior Data Scientist - Retailer

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Last checked: 11 hours agoStatus: Live

Job Summary

Senior Data Scientist on the Retailer team using ML and data insights to optimize shipping costs, underwriting credit terms, and retailer growth. You’ll build models, leverage NLP for content personalization, and collaborate with data scientists, engineers, and product managers to unlock value from a growing two-sided marketplace dataset.
Location: San Francisco, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Shipping cost optimization: Build ML models that provide accurate shipping cost estimates and engineer features to improve performance with explainable results.
  • •Underwriting: Evaluate retailer creditworthiness and dynamically assign credit term limits to minimize default risk and maximize growth.
  • •Retailer Growth & Lifecycle: Build models to generate landing pages and content, use NLP to match keywords to content, and predict retailer lifetime value for optimized acquisition.
  • •Collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from Faire’s two-sided marketplace data.
  • •Contribute to growing Faire’s retailer base by applying ML to optimize search, personalization, and content strategy.

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •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
Experience:3+ yearsRetailTwo-sided marketplaceE-commerceSaaS
Education:Master's
Skills:CommunicationCollaborationProblem-solvingTeamworkAnalytical thinking
Languages:English
Tech Stack:PythonJavaKotlinC++SklearnXGBoostDeep LearningSQL

Company Brief

Faire
Operates a wholesale marketplace connecting independent retailers with emerging and established brands, providing ordering, logistics, and payment solutions to help small businesses discover and stock unique products.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn