Apply graph learning, transformers, and ranking at Jobber as a Staff Data Scientist building production machine learning systems for automated decisions.
Reporting to the Manager, Data Science, this senior individual contributor owns models and systems inside Jobber’s product. You will work with SignalGraph, RAG systems, real-time serving, and high-velocity SaaS, scheduling, payments, and text data.
Key Responsibilities: Build and maintain SignalGraph metric contracts, catalogs, and diagnostics
Design and evaluate retrieval-augmented generation systems
Own training, serving, monitoring, drift detection, and retraining
Establish systematic evaluation and regression testing standards
Shape MLOps, feature-store, and machine-learning engineering practices
Requirements: End-to-end production machine learning experience
Robust statistics foundation and expert SQL
Production-grade Python skills
Hands-on transformers, deep learning, ranking, and representation learning
Experience with RAG, context management, and production LLM systems
Lead trustworthy applied machine learning at Jobber through graph methods, evaluation, production systems, and technical mentorship.

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📌 Staff Applied Machine Learning Scientist (Alberta)
🏢 Jobber
📍 Alberta