Remote in Canada, this Data Scientist role combines statistical modeling and machine learning to improve healthcare recruitment technology.

Build experiments that shape products and business decisions.

You will lead data science initiatives across a digital job-matching platform in healthcare recruitment.

The work spans predictive modeling, LLM applications, Retrieval-Augmented Generation, and A/B testing.

You will analyze user behavior, matching dynamics, conversion funnels, and marketing performance.

Product, engineering, and marketing collaboration will turn findings into measurable outcomes.

Key Responsibilities: Develop, validate, and deploy predictive models for matching and growth
Build LLM-powered features and Retrieval-Augmented Generation pipelines
Design prompt evaluation workflows and monitor AI reliability




Translate business questions into hypotheses and A/B experiments
Define KPIs, dashboards, and performance monitoring systems
Requirements: Solid statistics knowledge and critical interpretation of results
Advanced Python with pandas, scikit-learn, Num

Py, and strong SQL
Practical machine learning and modern AI implementation experience
Production or near-production LLM and RAG experience
Understanding of sample sizes, significance, and experimental pitfalls
Apply statistical rigor, Python, machine learning, and experimentation to improve healthcare job matching remotely from Canada.

📌 Remote Data Scientist AI Experimentation (Canada)
🏢 Important Business
📍 Canada