Senior AI/ML Scientist - Retailer Growth & Acquisition (Equity)

Rozgoo

Toronto

On-site

CAD 180,000 - 248,000

Full time

14 days+

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Benefits offered by this job

Equity
Benefits

Job summary

Faire is a technology wholesale platform transforming how local retailers source products. We are seeking a data scientist to join the Retailer Growth Data team, focusing on paid marketing and top-of-funnel acquisition.

You will develop AI/ML systems for activation and engagement of retailers, optimize bidding and targeting, and implement experimentation to measure impact. Strong communication and cross-functional collaboration are essential.

Qualifications

  • 3+ years of industry experience using machine learning to solve real-world problems.
  • Experience with e-commerce problems.
  • Experience with LTV modeling, NLP, LLMs, causal ML, bidding optimization.
  • Strong programming skills.
  • Willingness to learn new tools and techniques.
  • Ability to design and implement ML solutions without supervision.
  • Strong communication and cross-functional collaboration skills.

Responsibilities

  • Drive data science vision, strategy, and execution within Retailer Growth, using AI/ML solutions to activate and engage more retailers on the platform.
  • Work with cross-functional stakeholders to develop end-to-end product solutions.
  • Extract deep behavioral insights using AI to automate AEO content creation and personalize the user landing experience.
  • Optimize marketing capital allocation through sophisticated targeting and bidding optimization strategies.
  • Implement rigorous experimentation and causal inference frameworks to quantify the impact of growth levers.
  • Engineer scalable solutions for complex challenges inherent to two-sided marketplace dynamics.

Skills

Machine learning
NLP
LLMs
Causal ML
Bidding optimization
Programming

Education

Masters/PhD in CS or Statistics

Job description

Faire is a technology wholesale platform transforming how local retailers source products. We are seeking a data scientist to join the Retailer Growth Data team, focusing on paid marketing and top-of-funnel acquisition.

You will develop AI/ML systems for activation and engagement of retailers, optimize bidding and targeting, and implement experimentation to measure impact. Strong communication and cross-functional collaboration are essential.

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