Staff Data Scientist ML Systems

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 Strong 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.

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