Senior Applied AI/ML Scientist - Retailer Growth

Faire
Waterloo, Toronto
Workplace: HybridFull time180,000 - 247,500 annuallyFunction: Research & Scientific (R&D)Experience: 3+ yearsSkills: ["Communication","Cross-functional collaboration","Willingness to learn"]

Build applied AI/ML systems for Retailer Growth, focused on paid marketing and top-of-funnel activation. Drive data science strategy and execution to optimize marketing capital allocation via targeting and bidding optimization, automate AEO content creation with AI/LLMs, personalize landing experiences, and measure growth impact using experimentation and causal inference. Work with cross-functional teams to ship end-to-end product solutions on a two-sided marketplace.

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Faire
Faire
1 month ago

Senior Applied AI/ML Scientist - Retailer Growth

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build applied AI/ML systems for Retailer Growth, focused on paid marketing and top-of-funnel activation. Drive data science strategy and execution to optimize marketing capital allocation via targeting and bidding optimization, automate AEO content creation with AI/LLMs, personalize landing experiences, and measure growth impact using experimentation and causal inference. Work with cross-functional teams to ship end-to-end product solutions on a two-sided marketplace.
Location: Waterloo, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Drive data science vision, strategy, and execution within Retailer Growth to activate and engage more retailers.
  • •Partner with cross-functional stakeholders to develop end-to-end product solutions.
  • •Automate AEO content creation and personalize user landing experiences using AI to extract behavioral insights.
  • •Optimize marketing capital allocation using targeting and bidding optimization strategies.
  • •Implement experimentation and causal inference frameworks to quantify the impact of growth levers and build scalable solutions for marketplace dynamics.

Pay and Benefits

Salary: 180,000 - 247,500 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years of industry experience using machine learning to solve real-world problems.
  • •Experience applying ML to relevant business problems, such as e-commerce.
  • •Experience with technical methods including LTV modeling, NLP, LLMs, causal ML, and bidding optimization.
  • •Strong programming skills and the ability to design and implement ML solutions without supervision.
  • •Strong communication skills and experience working in highly cross-functional teams.
Experience:3+ years
Education:
Skills:CommunicationCross-functional collaborationWillingness to learn
Tech Stack:Machine learningNLPLLMsCausal MLBidding optimizationReinforcement learningExperimentationLTV modeling

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