ML systems architecture and evaluation anchor this Staff Data Scientist role at Jobber, focused on dependable models, platforms, and measurable quality.

As a senior individual contributor reporting to the Manager, Data Science, you will shape how ML systems are built, evaluated, and trusted. You will own production pipelines, real-time serving, monitoring, drift detection, and retraining. Your scope includes MLOps standards, feature store direction, peer review, and mentorship.

Key Responsibilities

Own production ML systems from training through retraining

Set MLOps and ML engineering standards across the team

Shape feature store and platform roadmap priorities

Establish systematic model evaluation and regression testing





Present work and align senior leadership and cross-functional partners

Requirements

Experience training, deploying, serving, and maintaining production models

Robust communication and stakeholder alignment skills

Expert SQL and production-grade Python capabilities

Experience with Snowflake, Apache Airflow, and cloud infrastructure

Ownership of model quality beyond shipping speed

Use architectural judgment, rigorous evaluation, and production engineering to strengthen Jobber’s machine learning systems and standards.

📌 Staff Data Scientist ML Systems (Winnipeg)
🏢 Avenue.io
📍 Winnipeg