Staff Data Scientist, Applied ML

The role

You will own models and systems for automated decisioning. You will train, evaluate, and engineer models like graph representation learning, transformer architectures, and ranking to serve in real time at scale.

What you will do

• Build, improve, and maintain SignalGraph
• Design, build, and evaluate retrieval-augmented generation (RAG) systems
• Own production ML end-to-end including training, serving, monitoring, and retraining
• Establish systematic evaluation and regression testing
• Drive MLOps and ML engineering standards
• Shape feature store and platform roadmap
• Review peers' work and mentor other scientists
• Partner with senior leadership to make decisions
• Translate AI/ML developments into shipped capability

Required qualifications

• Production ML experience, end-to-end
• Strong statistics foundation
• Expert SQL skills
• Production-grade Python skills
• Depth in modern ML methods including Deep learning, neural architectures, transformers/BERT-family models, RNN/CNN, ranking, and representation learning
• Hands-on experience applying LLMs in production systems, including RAG and context management
• Experience designing for the real cost of being wrong using custom and asymmetric loss functions
• Experience with large data in production environments and platforms like Snowflake, Apache Airflow, or cloud infrastructure (AWS, GCP, or Azure)
• Strong communication and stakeholder alignment skills

Nice to have

• Graph experience: Graph theory, graph neural networks, knowledge graphs, or graph databases such as Neo4j
• Software engineering background: Services and model serving (REST/gRPC), Docker/Kubernetes, CI/CD, feature stores
• Experience with Snowflake, including Snowpark and Snowpark Container Services
• Experience building LLM evaluation infrastructure, safety layers, or LLMOps
• Exposure to risk, fraud, or fintech modelling, or to recommendation and ranking systems at scale

Benefits

• Extended health benefits package with fully paid premiums
• Matching in RRSP, TFSA or FHSA
• Stock options
• Dedicated Talent Development team
• Access to coaching, learning, and leadership programs

About the company

Jobber helps people in small businesses be successful by transforming the way service is delivered through technology. They provide tools for small home service businesses to quote, schedule, invoice, and collect payments.