AI/ML Growth Scientist — Activate Retailers

United States Digital Space LLC; Kitchener; Hybrid; CAD 180,000 - 248,000; Full time

Benefits offered by this job

Equity

Hybrid work

Remote up to 4 weeks per year

Job summary

the company is a technology wholesale platform focusing on local retail growth and AI-driven marketing. The Retailer Growth Data team develops AI/ML systems for paid marketing, onboarding retailers, and optimizing conversion across a two-sided marketplace.

We seek experienced ML scientists to drive experimentation, AI content generation, and scalable solutions, with hybrid work and equity benefits. The role emphasizes collaboration across stakeholders and rapid iteration in a global context.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems.
• Experience with e-commerce problems and paid marketing
• 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 in a cross-functional team

Responsibilities

• Drive data science vision, strategy, and execution within Retailer Growth using AI/ML to activate retailers.
• Collaborate with cross-functional stakeholders to develop end-to-end product solutions.
• Extract deep behavioral insights to automate AEO content creation and personalize landing experiences.
• Optimize marketing capital allocation with advanced targeting and bidding strategies.
• Implement rigorous experimentation and causal inference to quantify growth lever impacts.
• Engineer scalable ML solutions for two-sided marketplace challenges

Skills

ML experience

Programming

LTV modeling

NLP

LLMs

Bidding optimization

Education

Master’s or PhD in CS/Statistics or related STEM

Job description

the company is a technology wholesale platform focusing on local retail growth and AI-driven marketing. The Retailer Growth Data team develops AI/ML systems for paid marketing, onboarding retailers, and optimizing conversion across a two-sided marketplace.

We seek experienced ML scientists to drive experimentation, AI content generation, and scalable solutions, with hybrid work and equity benefits. The role emphasizes collaboration across stakeholders and rapid iteration in a global context.