Staff Data Scientist, Applied Machine Learning (ML)

Location: Hybrid, Canada

Salary: CAD 145,900–197,400 annual base salary, with a midpoint of CAD 171,600.

Company

hirify.global provides SaaS tools for small home-service businesses to quote, schedule, invoice, collect payments, and manage customer relationships.

What you will do

• Build, improve, and maintain SignalGraph, including metric-family contracts, segment and causal-edge catalogs, Neo4j infrastructure, and series-refresh pipelines.
• Design, build, and evaluate retrieval-augmented generation systems using the company-wide metric graph.
• Own production ML end to end, including training pipelines, real-time serving, monitoring, drift detection, and retraining.
• Establish systematic evaluation and regression testing for models and LLM systems.
• Set MLOps and ML engineering standards, shape the feature-store and platform roadmap, review work, and mentor data scientists.
• Partner with senior leadership, Customer Analytics, Business Intelligence, and Product to support data-driven decisions.

Requirements

• End-to-end production ML experience, including training, deployment, serving, maintenance, retraining, and drift management.
• Strong statistics foundation and the ability to reason about bias, variance, loss functions, and signal quality.
• Expert SQL and production-grade Python skills.
• Hands-on experience with deep learning, neural architectures, transformers or BERT-family models, RNNs, CNNs, ranking, representation learning, LLMs, RAG, and context management.
• Experience with large-scale production data platforms, including Snowflake, Apache Airflow, and cloud infrastructure; AWS is strongly preferred.
• Strong communication, stakeholder alignment, technical ownership, and quality-focused problem-solving skills.

Nice to have

• Graph theory, graph neural networks, knowledge graphs, or graph databases such as Neo4j.
• Software engineering experience with REST or gRPC services, Docker, Kubernetes, CI/CD, and feature stores.
• Snowpark, Snowpark Container Services, or a comparable warehouse-to-production model workflow.
• LLM evaluation infrastructure, safety layers, or LLMOps experience.
• Risk, fraud, fintech, recommendation, or large-scale ranking experience.

Culture & Benefits

• Hybrid work environment with a culture focused on transparency, inclusion, collaboration, and innovation.
• Extended health benefits with fully paid premiums for physical and mental health.
• Retirement savings matching through RRSP, TFSA, or FHSA, plus stock options.
• Annual health and wellness stipends.
• Onboarding resources, tutorials, hackathons, mentoring, career coaching, and leadership development programs.
• Two-week sprints, department demos, and opportunities to influence company-wide decisions.