Senior Staff Data Scientist, Applied ML
Jobber
Elevate your career with Jobber as a Senior Staff Data Scientist in Applied Machine Learning. Join a dynamic team to develop cutting-edge ML models and lead impactful data insights.
In this individual contributor role, you’ll work under the Manager of Data Science, primarily focusing on automated decisioning systems. Your expertise in graph representation learning, transformer architectures, and performance evaluation will be critical for model building and real-time serving. You'll play a key role in transforming high-velocity SaaS event data into actionable insights for small businesses.
Key Responsibilities: • Build and maintain the SignalGraph for metric analysis • Design retrieval-augmented generation systems for enhanced context • Oversee end-to-end production ML processes • Establish evaluation and regression testing standards • Mentor peers on advanced ML and graph techniques
Requirements: • Proven production ML experience in real-user scenarios • Strong foundations in statistics and model evaluation • Expert-level SQL and Python programming skills • Depth in deep learning and transformer models • Experience with large-scale production data environments
Drive impactful ML innovations at Jobber, harnessing advanced techniques and strategic leadership. #J-18808-Ljbffr
In this individual contributor role, you’ll work under the Manager of Data Science, primarily focusing on automated decisioning systems. Your expertise in graph representation learning, transformer architectures, and performance evaluation will be critical for model building and real-time serving. You'll play a key role in transforming high-velocity SaaS event data into actionable insights for small businesses.
Key Responsibilities: • Build and maintain the SignalGraph for metric analysis • Design retrieval-augmented generation systems for enhanced context • Oversee end-to-end production ML processes • Establish evaluation and regression testing standards • Mentor peers on advanced ML and graph techniques
Requirements: • Proven production ML experience in real-user scenarios • Strong foundations in statistics and model evaluation • Expert-level SQL and Python programming skills • Depth in deep learning and transformer models • Experience with large-scale production data environments
Drive impactful ML innovations at Jobber, harnessing advanced techniques and strategic leadership. #J-18808-Ljbffr
Reference: WJ-3875_14079832