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:

- Strong statistics knowledge and critical interpretation of results
- Advanced Python with pandas, scikit-learn, NumPy, and strong SQL
- Practical machine learning and up-to-date 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 (Edmonton)
🏢 Jobgether
📍 Edmonton