Senior AI/ML Scientist - Growth & Personalization

Faire; San Francisco (CA); Hybrid; USD 196,000 - 269,500; Full time

Job summary

Faire leverages ML and data insights to revolutionize wholesale, helping local retailers compete with giants by activating and engaging more retailers on the platform. You will work on paid marketing and top‑of‑funnel acquisition, developing AI/ML systems for bidding, audience targeting, and content at scale.

As part of the Retailer Growth Data team, you’ll build ML models to optimize campaigns, experiment with causal inference, and drive faster feedback loops to improve conversion and

Qualifications

• 3+ years of industry experience applying ML to real‑world problems.
• Experience with e‑commerce problems and data
• Strong knowledge of LTV modelling, NLP, LLMs, and causal ML.
• Strong programming skills and willingness to learn new tools.
• Ability to design ML solutions without supervision.
• Strong cross‑functional communication skills.

Responsibilities

• Define 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 behavioural insights using AI to automate AEO content creation and personalise the user landing experience.
• Optimize marketing capital allocation through sophisticated targeting and bidding optimisation strategies.
• Implement rigorous experimentation and causal inference frameworks to quantify growth impact.
• Engineer scalable solutions for two‑sided marketplace dynamics.

Skills

Machine learning

Programming

NLP

LLMs

Causal ML

E-commerce experience

Cross-functional communication

Data science strategy

Education

Master’s or Ph.D. in CS/Statistics or related STEM fields

Tools

Python

Job description

Faire leverages ML and data insights to revolutionize wholesale, helping local retailers compete with giants by activating and engaging more retailers on the platform. You will work on paid marketing and top‑of‑funnel acquisition, developing AI/ML systems for bidding, audience targeting, and content at scale.

As part of the Retailer Growth Data team, you’ll build ML models to optimize campaigns, experiment with causal inference, and drive faster feedback loops to improve conversion and