Our client is an early stage US-based startup who have developed an AI-powered 'monetization kit' that helps businesses with pricing packaging and billing.

They are seeking to hire a backend-focused ML/DS Engineer who will be *based in Canada* and work remotely.

This is a full-time, permanent, remote position for candidates with Canadian work authorization.

We're seeking a data scientist/machine learning engineer to build the intelligence behind our client's next-generation revenue optimization platform. You'll design and implement statistical models, pricing algorithms, and recommendation engines that help businesses optimize their monetization strategies through AI-driven insights. This role combines deep analytical expertise with practical engineering skills, requiring someone who can architect ML solutions while contributing to their backend infrastructure when needed.

This role is 70% data science/ML work, 30% backend engineering. You'll spend most of your time analyzing usage patterns, building recommendation algorithms, and optimizing pricing models. When needed, you'll contribute to our TypeScript backend to integrate your models into our production systems.

We need someone who can balance mathematical rigor with practical implementation - someone who can determine whether our current recommendation algorithm is optimized and knows how to test and improve it using proper statistical methods.