Join Faire as an Applied AI and ML Scientist to transform the wholesale industry using cutting-edge machine learning techniques. Engage local retailers and optimize paid marketing strategies. In this hybrid role, you will be part of the Retailer Growth Data team, leveraging 3+ years of experience in AI/ML to enhance engagement through cutting-edge solutions.

Your work will address critical e-commerce challenges using LTV modeling, NLP, and causal ML while collaborating with cross-functional teams to implement end-to-end product solutions. Key Responsibilities:

- Drive data science strategies for Retailer Growth
- Develop end-to-end machine learning solutions
- Analyze consumer behavior using AI insights
- Optimize marketing through bidding and targeting
- Implement experimentation frameworks for growth impact

Requirements:

- 3+ years of industry experience in machine learning
- Proficient in e-commerce related technical methods
- Strong programming and communication skills
- Ability to work independently in teams
- Master’s or PhD in relevant fields is a plus

Empower local retailers with AI-driven insights and innovative marketing strategies in your journey at Faire.

📌 Applied AI and ML Scientist at Faire (Waterloo)
🏢 Faire
📍 Waterloo